Documentation ¶
Overview ¶
Package forecast provides the client and types for making API requests to Amazon Forecast Service.
Provides APIs for creating and managing Amazon Forecast resources.
See https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26 for more information on this service.
See forecast package documentation for more information. https://docs.aws.amazon.com/sdk-for-go/api/service/forecast/
Using the Client ¶
To use Amazon Forecast Service with the SDK use the New function to create a new service client. With that client you can make API requests to the service. These clients are safe to use concurrently.
See the SDK's documentation for more information on how to use the SDK. https://docs.aws.amazon.com/sdk-for-go/api/
See aws.Config documentation for more information on configuring SDK clients. https://docs.aws.amazon.com/sdk-for-go/api/aws/#Config
See the Amazon Forecast Service client for more information on creating client for this service. https://docs.aws.amazon.com/sdk-for-go/api/service/forecast/#New
Index ¶
- Constants
- type AttributeType
- type CategoricalParameterRange
- type Client
- func (c *Client) CreateDatasetGroupRequest(input *CreateDatasetGroupInput) CreateDatasetGroupRequest
- func (c *Client) CreateDatasetImportJobRequest(input *CreateDatasetImportJobInput) CreateDatasetImportJobRequest
- func (c *Client) CreateDatasetRequest(input *CreateDatasetInput) CreateDatasetRequest
- func (c *Client) CreateForecastExportJobRequest(input *CreateForecastExportJobInput) CreateForecastExportJobRequest
- func (c *Client) CreateForecastRequest(input *CreateForecastInput) CreateForecastRequest
- func (c *Client) CreatePredictorRequest(input *CreatePredictorInput) CreatePredictorRequest
- func (c *Client) DeleteDatasetGroupRequest(input *DeleteDatasetGroupInput) DeleteDatasetGroupRequest
- func (c *Client) DeleteDatasetImportJobRequest(input *DeleteDatasetImportJobInput) DeleteDatasetImportJobRequest
- func (c *Client) DeleteDatasetRequest(input *DeleteDatasetInput) DeleteDatasetRequest
- func (c *Client) DeleteForecastExportJobRequest(input *DeleteForecastExportJobInput) DeleteForecastExportJobRequest
- func (c *Client) DeleteForecastRequest(input *DeleteForecastInput) DeleteForecastRequest
- func (c *Client) DeletePredictorRequest(input *DeletePredictorInput) DeletePredictorRequest
- func (c *Client) DescribeDatasetGroupRequest(input *DescribeDatasetGroupInput) DescribeDatasetGroupRequest
- func (c *Client) DescribeDatasetImportJobRequest(input *DescribeDatasetImportJobInput) DescribeDatasetImportJobRequest
- func (c *Client) DescribeDatasetRequest(input *DescribeDatasetInput) DescribeDatasetRequest
- func (c *Client) DescribeForecastExportJobRequest(input *DescribeForecastExportJobInput) DescribeForecastExportJobRequest
- func (c *Client) DescribeForecastRequest(input *DescribeForecastInput) DescribeForecastRequest
- func (c *Client) DescribePredictorRequest(input *DescribePredictorInput) DescribePredictorRequest
- func (c *Client) GetAccuracyMetricsRequest(input *GetAccuracyMetricsInput) GetAccuracyMetricsRequest
- func (c *Client) ListDatasetGroupsRequest(input *ListDatasetGroupsInput) ListDatasetGroupsRequest
- func (c *Client) ListDatasetImportJobsRequest(input *ListDatasetImportJobsInput) ListDatasetImportJobsRequest
- func (c *Client) ListDatasetsRequest(input *ListDatasetsInput) ListDatasetsRequest
- func (c *Client) ListForecastExportJobsRequest(input *ListForecastExportJobsInput) ListForecastExportJobsRequest
- func (c *Client) ListForecastsRequest(input *ListForecastsInput) ListForecastsRequest
- func (c *Client) ListPredictorsRequest(input *ListPredictorsInput) ListPredictorsRequest
- func (c *Client) ListTagsForResourceRequest(input *ListTagsForResourceInput) ListTagsForResourceRequest
- func (c *Client) TagResourceRequest(input *TagResourceInput) TagResourceRequest
- func (c *Client) UntagResourceRequest(input *UntagResourceInput) UntagResourceRequest
- func (c *Client) UpdateDatasetGroupRequest(input *UpdateDatasetGroupInput) UpdateDatasetGroupRequest
- type ContinuousParameterRange
- type CreateDatasetGroupInput
- type CreateDatasetGroupOutput
- type CreateDatasetGroupRequest
- type CreateDatasetGroupResponse
- type CreateDatasetImportJobInput
- type CreateDatasetImportJobOutput
- type CreateDatasetImportJobRequest
- type CreateDatasetImportJobResponse
- type CreateDatasetInput
- type CreateDatasetOutput
- type CreateDatasetRequest
- type CreateDatasetResponse
- type CreateForecastExportJobInput
- type CreateForecastExportJobOutput
- type CreateForecastExportJobRequest
- type CreateForecastExportJobResponse
- type CreateForecastInput
- type CreateForecastOutput
- type CreateForecastRequest
- type CreateForecastResponse
- type CreatePredictorInput
- type CreatePredictorOutput
- type CreatePredictorRequest
- type CreatePredictorResponse
- type DataDestination
- type DataSource
- type DatasetGroupSummary
- type DatasetImportJobSummary
- type DatasetSummary
- type DatasetType
- type DeleteDatasetGroupInput
- type DeleteDatasetGroupOutput
- type DeleteDatasetGroupRequest
- type DeleteDatasetGroupResponse
- type DeleteDatasetImportJobInput
- type DeleteDatasetImportJobOutput
- type DeleteDatasetImportJobRequest
- type DeleteDatasetImportJobResponse
- type DeleteDatasetInput
- type DeleteDatasetOutput
- type DeleteDatasetRequest
- type DeleteDatasetResponse
- type DeleteForecastExportJobInput
- type DeleteForecastExportJobOutput
- type DeleteForecastExportJobRequest
- type DeleteForecastExportJobResponse
- type DeleteForecastInput
- type DeleteForecastOutput
- type DeleteForecastRequest
- type DeleteForecastResponse
- type DeletePredictorInput
- type DeletePredictorOutput
- type DeletePredictorRequest
- type DeletePredictorResponse
- type DescribeDatasetGroupInput
- type DescribeDatasetGroupOutput
- type DescribeDatasetGroupRequest
- type DescribeDatasetGroupResponse
- type DescribeDatasetImportJobInput
- type DescribeDatasetImportJobOutput
- type DescribeDatasetImportJobRequest
- type DescribeDatasetImportJobResponse
- type DescribeDatasetInput
- type DescribeDatasetOutput
- type DescribeDatasetRequest
- type DescribeDatasetResponse
- type DescribeForecastExportJobInput
- type DescribeForecastExportJobOutput
- type DescribeForecastExportJobRequest
- type DescribeForecastExportJobResponse
- type DescribeForecastInput
- type DescribeForecastOutput
- type DescribeForecastRequest
- type DescribeForecastResponse
- type DescribePredictorInput
- type DescribePredictorOutput
- type DescribePredictorRequest
- type DescribePredictorResponse
- type Domain
- type EncryptionConfig
- type EvaluationParameters
- type EvaluationResult
- type EvaluationType
- type Featurization
- type FeaturizationConfig
- type FeaturizationMethod
- type FeaturizationMethodName
- type Filter
- type FilterConditionString
- type ForecastExportJobSummary
- type ForecastSummary
- type GetAccuracyMetricsInput
- type GetAccuracyMetricsOutput
- type GetAccuracyMetricsRequest
- type GetAccuracyMetricsResponse
- type HyperParameterTuningJobConfig
- type InputDataConfig
- type IntegerParameterRange
- type ListDatasetGroupsInput
- type ListDatasetGroupsOutput
- type ListDatasetGroupsPaginator
- type ListDatasetGroupsRequest
- type ListDatasetGroupsResponse
- type ListDatasetImportJobsInput
- type ListDatasetImportJobsOutput
- type ListDatasetImportJobsPaginator
- type ListDatasetImportJobsRequest
- type ListDatasetImportJobsResponse
- type ListDatasetsInput
- type ListDatasetsOutput
- type ListDatasetsPaginator
- type ListDatasetsRequest
- type ListDatasetsResponse
- type ListForecastExportJobsInput
- type ListForecastExportJobsOutput
- type ListForecastExportJobsPaginator
- type ListForecastExportJobsRequest
- type ListForecastExportJobsResponse
- type ListForecastsInput
- type ListForecastsOutput
- type ListForecastsPaginator
- type ListForecastsRequest
- type ListForecastsResponse
- type ListPredictorsInput
- type ListPredictorsOutput
- type ListPredictorsPaginator
- type ListPredictorsRequest
- type ListPredictorsResponse
- type ListTagsForResourceInput
- type ListTagsForResourceOutput
- type ListTagsForResourceRequest
- type ListTagsForResourceResponse
- type Metrics
- type ParameterRanges
- type PredictorExecution
- type PredictorExecutionDetails
- type PredictorSummary
- type S3Config
- type ScalingType
- type Schema
- type SchemaAttribute
- type Statistics
- type SupplementaryFeature
- type Tag
- type TagResourceInput
- type TagResourceOutput
- type TagResourceRequest
- type TagResourceResponse
- type TestWindowSummary
- type UntagResourceInput
- type UntagResourceOutput
- type UntagResourceRequest
- type UntagResourceResponse
- type UpdateDatasetGroupInput
- type UpdateDatasetGroupOutput
- type UpdateDatasetGroupRequest
- type UpdateDatasetGroupResponse
- type WeightedQuantileLoss
- type WindowSummary
Constants ¶
const ( ServiceName = "Amazon Forecast Service" // Service's name ServiceID = "Forecast" // Service's identifier EndpointsID = "forecast" // Service's Endpoint identifier )
const ( // ErrCodeInvalidInputException for service response error code // "InvalidInputException". // // We can't process the request because it includes an invalid value or a value // that exceeds the valid range. ErrCodeInvalidInputException = "InvalidInputException" // ErrCodeInvalidNextTokenException for service response error code // "InvalidNextTokenException". // // The token is not valid. Tokens expire after 24 hours. ErrCodeInvalidNextTokenException = "InvalidNextTokenException" // ErrCodeLimitExceededException for service response error code // "LimitExceededException". // // The limit on the number of resources per account has been exceeded. ErrCodeLimitExceededException = "LimitExceededException" // ErrCodeResourceAlreadyExistsException for service response error code // "ResourceAlreadyExistsException". // // There is already a resource with this name. Try again with a different name. ErrCodeResourceAlreadyExistsException = "ResourceAlreadyExistsException" // ErrCodeResourceInUseException for service response error code // "ResourceInUseException". // // The specified resource is in use. ErrCodeResourceInUseException = "ResourceInUseException" // ErrCodeResourceNotFoundException for service response error code // "ResourceNotFoundException". // // We can't find a resource with that Amazon Resource Name (ARN). Check the // ARN and try again. ErrCodeResourceNotFoundException = "ResourceNotFoundException" )
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type AttributeType ¶
type AttributeType string
const ( AttributeTypeString AttributeType = "string" AttributeTypeInteger AttributeType = "integer" AttributeTypeFloat AttributeType = "float" AttributeTypeTimestamp AttributeType = "timestamp" )
Enum values for AttributeType
func (AttributeType) MarshalValue ¶
func (enum AttributeType) MarshalValue() (string, error)
func (AttributeType) MarshalValueBuf ¶
func (enum AttributeType) MarshalValueBuf(b []byte) ([]byte, error)
type CategoricalParameterRange ¶
type CategoricalParameterRange struct { // The name of the categorical hyperparameter to tune. // // Name is a required field Name *string `min:"1" type:"string" required:"true"` // A list of the tunable categories for the hyperparameter. // // Values is a required field Values []string `min:"1" type:"list" required:"true"` // contains filtered or unexported fields }
Specifies a categorical hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
func (CategoricalParameterRange) String ¶
func (s CategoricalParameterRange) String() string
String returns the string representation
func (*CategoricalParameterRange) Validate ¶
func (s *CategoricalParameterRange) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type Client ¶
Client provides the API operation methods for making requests to Amazon Forecast Service. See this package's package overview docs for details on the service.
The client's methods are safe to use concurrently. It is not safe to modify mutate any of the struct's properties though.
func New ¶
New creates a new instance of the client from the provided Config.
Example:
// Create a client from just a config. svc := forecast.New(myConfig)
func (*Client) CreateDatasetGroupRequest ¶
func (c *Client) CreateDatasetGroupRequest(input *CreateDatasetGroupInput) CreateDatasetGroupRequest
CreateDatasetGroupRequest returns a request value for making API operation for Amazon Forecast Service.
Creates a dataset group, which holds a collection of related datasets. You can add datasets to the dataset group when you create the dataset group, or later by using the UpdateDatasetGroup operation.
After creating a dataset group and adding datasets, you use the dataset group when you create a predictor. For more information, see howitworks-datasets-groups.
To get a list of all your datasets groups, use the ListDatasetGroups operation.
The Status of a dataset group must be ACTIVE before you can create use the dataset group to create a predictor. To get the status, use the DescribeDatasetGroup operation.
// Example sending a request using CreateDatasetGroupRequest. req := client.CreateDatasetGroupRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetGroup
func (*Client) CreateDatasetImportJobRequest ¶
func (c *Client) CreateDatasetImportJobRequest(input *CreateDatasetImportJobInput) CreateDatasetImportJobRequest
CreateDatasetImportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Imports your training data to an Amazon Forecast dataset. You provide the location of your training data in an Amazon Simple Storage Service (Amazon S3) bucket and the Amazon Resource Name (ARN) of the dataset that you want to import the data to.
You must specify a DataSource object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data, as Amazon Forecast makes a copy of your data and processes it in an internal AWS system. For more information, see aws-forecast-iam-roles.
The training data must be in CSV format. The delimiter must be a comma (,).
You can specify the path to a specific CSV file, the S3 bucket, or to a folder in the S3 bucket. For the latter two cases, Amazon Forecast imports all files up to the limit of 10,000 files.
Because dataset imports are not aggregated, your most recent dataset import is the one that is used when training a predictor or generating a forecast. Make sure that your most recent dataset import contains all of the data you want to model off of, and not just the new data collected since the previous import.
To get a list of all your dataset import jobs, filtered by specified criteria, use the ListDatasetImportJobs operation.
// Example sending a request using CreateDatasetImportJobRequest. req := client.CreateDatasetImportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDatasetImportJob
func (*Client) CreateDatasetRequest ¶
func (c *Client) CreateDatasetRequest(input *CreateDatasetInput) CreateDatasetRequest
CreateDatasetRequest returns a request value for making API operation for Amazon Forecast Service.
Creates an Amazon Forecast dataset. The information about the dataset that you provide helps Forecast understand how to consume the data for model training. This includes the following:
DataFrequency - How frequently your historical time-series data is collected.
Domain and DatasetType - Each dataset has an associated dataset domain and a type within the domain. Amazon Forecast provides a list of predefined domains and types within each domain. For each unique dataset domain and type within the domain, Amazon Forecast requires your data to include a minimum set of predefined fields.
Schema - A schema specifies the fields in the dataset, including the field name and data type.
After creating a dataset, you import your training data into it and add the dataset to a dataset group. You use the dataset group to create a predictor. For more information, see howitworks-datasets-groups.
To get a list of all your datasets, use the ListDatasets operation.
For example Forecast datasets, see the Amazon Forecast Sample GitHub repository (https://github.com/aws-samples/amazon-forecast-samples).
The Status of a dataset must be ACTIVE before you can import training data. Use the DescribeDataset operation to get the status.
// Example sending a request using CreateDatasetRequest. req := client.CreateDatasetRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateDataset
func (*Client) CreateForecastExportJobRequest ¶
func (c *Client) CreateForecastExportJobRequest(input *CreateForecastExportJobInput) CreateForecastExportJobRequest
CreateForecastExportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Exports a forecast created by the CreateForecast operation to your Amazon Simple Storage Service (Amazon S3) bucket. The forecast file name will match the following conventions:
<ForecastExportJobName>_<ExportTimestamp>_<PartNumber>
where the <ExportTimestamp> component is in Java SimpleDateFormat (yyyy-MM-ddTHH-mm-ssZ).
You must specify a DataDestination object that includes an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket. For more information, see aws-forecast-iam-roles.
For more information, see howitworks-forecast.
To get a list of all your forecast export jobs, use the ListForecastExportJobs operation.
The Status of the forecast export job must be ACTIVE before you can access the forecast in your Amazon S3 bucket. To get the status, use the DescribeForecastExportJob operation.
// Example sending a request using CreateForecastExportJobRequest. req := client.CreateForecastExportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecastExportJob
func (*Client) CreateForecastRequest ¶
func (c *Client) CreateForecastRequest(input *CreateForecastInput) CreateForecastRequest
CreateForecastRequest returns a request value for making API operation for Amazon Forecast Service.
Creates a forecast for each item in the TARGET_TIME_SERIES dataset that was used to train the predictor. This is known as inference. To retrieve the forecast for a single item at low latency, use the operation. To export the complete forecast into your Amazon Simple Storage Service (Amazon S3) bucket, use the CreateForecastExportJob operation.
The range of the forecast is determined by the ForecastHorizon value, which you specify in the CreatePredictor request. When you query a forecast, you can request a specific date range within the forecast.
To get a list of all your forecasts, use the ListForecasts operation.
The forecasts generated by Amazon Forecast are in the same time zone as the dataset that was used to create the predictor.
For more information, see howitworks-forecast.
The Status of the forecast must be ACTIVE before you can query or export the forecast. Use the DescribeForecast operation to get the status.
// Example sending a request using CreateForecastRequest. req := client.CreateForecastRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreateForecast
func (*Client) CreatePredictorRequest ¶
func (c *Client) CreatePredictorRequest(input *CreatePredictorInput) CreatePredictorRequest
CreatePredictorRequest returns a request value for making API operation for Amazon Forecast Service.
Creates an Amazon Forecast predictor.
In the request, you provide a dataset group and either specify an algorithm or let Amazon Forecast choose the algorithm for you using AutoML. If you specify an algorithm, you also can override algorithm-specific hyperparameters.
Amazon Forecast uses the chosen algorithm to train a model using the latest version of the datasets in the specified dataset group. The result is called a predictor. You then generate a forecast using the CreateForecast operation.
After training a model, the CreatePredictor operation also evaluates it. To see the evaluation metrics, use the GetAccuracyMetrics operation. Always review the evaluation metrics before deciding to use the predictor to generate a forecast.
Optionally, you can specify a featurization configuration to fill and aggregate the data fields in the TARGET_TIME_SERIES dataset to improve model training. For more information, see FeaturizationConfig.
For RELATED_TIME_SERIES datasets, CreatePredictor verifies that the DataFrequency specified when the dataset was created matches the ForecastFrequency. TARGET_TIME_SERIES datasets don't have this restriction. Amazon Forecast also verifies the delimiter and timestamp format. For more information, see howitworks-datasets-groups.
AutoML ¶
If you want Amazon Forecast to evaluate each algorithm and choose the one that minimizes the objective function, set PerformAutoML to true. The objective function is defined as the mean of the weighted p10, p50, and p90 quantile losses. For more information, see EvaluationResult.
When AutoML is enabled, the following properties are disallowed:
AlgorithmArn
HPOConfig
PerformHPO
TrainingParameters
To get a list of all of your predictors, use the ListPredictors operation.
Before you can use the predictor to create a forecast, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
// Example sending a request using CreatePredictorRequest. req := client.CreatePredictorRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/CreatePredictor
func (*Client) DeleteDatasetGroupRequest ¶
func (c *Client) DeleteDatasetGroupRequest(input *DeleteDatasetGroupInput) DeleteDatasetGroupRequest
DeleteDatasetGroupRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes a dataset group created using the CreateDatasetGroup operation. You can only delete dataset groups that have a status of ACTIVE, CREATE_FAILED, or UPDATE_FAILED. To get the status, use the DescribeDatasetGroup operation.
This operation deletes only the dataset group, not the datasets in the group.
// Example sending a request using DeleteDatasetGroupRequest. req := client.DeleteDatasetGroupRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteDatasetGroup
func (*Client) DeleteDatasetImportJobRequest ¶
func (c *Client) DeleteDatasetImportJobRequest(input *DeleteDatasetImportJobInput) DeleteDatasetImportJobRequest
DeleteDatasetImportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes a dataset import job created using the CreateDatasetImportJob operation. You can delete only dataset import jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeDatasetImportJob operation.
// Example sending a request using DeleteDatasetImportJobRequest. req := client.DeleteDatasetImportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteDatasetImportJob
func (*Client) DeleteDatasetRequest ¶
func (c *Client) DeleteDatasetRequest(input *DeleteDatasetInput) DeleteDatasetRequest
DeleteDatasetRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes an Amazon Forecast dataset that was created using the CreateDataset operation. You can only delete datasets that have a status of ACTIVE or CREATE_FAILED. To get the status use the DescribeDataset operation.
Forecast does not automatically update any dataset groups that contain the deleted dataset. In order to update the dataset group, use the operation, omitting the deleted dataset's ARN.
// Example sending a request using DeleteDatasetRequest. req := client.DeleteDatasetRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteDataset
func (*Client) DeleteForecastExportJobRequest ¶
func (c *Client) DeleteForecastExportJobRequest(input *DeleteForecastExportJobInput) DeleteForecastExportJobRequest
DeleteForecastExportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes a forecast export job created using the CreateForecastExportJob operation. You can delete only export jobs that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecastExportJob operation.
// Example sending a request using DeleteForecastExportJobRequest. req := client.DeleteForecastExportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteForecastExportJob
func (*Client) DeleteForecastRequest ¶
func (c *Client) DeleteForecastRequest(input *DeleteForecastInput) DeleteForecastRequest
DeleteForecastRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes a forecast created using the CreateForecast operation. You can delete only forecasts that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribeForecast operation.
You can't delete a forecast while it is being exported. After a forecast is deleted, you can no longer query the forecast.
// Example sending a request using DeleteForecastRequest. req := client.DeleteForecastRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeleteForecast
func (*Client) DeletePredictorRequest ¶
func (c *Client) DeletePredictorRequest(input *DeletePredictorInput) DeletePredictorRequest
DeletePredictorRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes a predictor created using the CreatePredictor operation. You can delete only predictor that have a status of ACTIVE or CREATE_FAILED. To get the status, use the DescribePredictor operation.
// Example sending a request using DeletePredictorRequest. req := client.DeletePredictorRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DeletePredictor
func (*Client) DescribeDatasetGroupRequest ¶
func (c *Client) DescribeDatasetGroupRequest(input *DescribeDatasetGroupInput) DescribeDatasetGroupRequest
DescribeDatasetGroupRequest returns a request value for making API operation for Amazon Forecast Service.
Describes a dataset group created using the CreateDatasetGroup operation.
In addition to listing the parameters provided in the CreateDatasetGroup request, this operation includes the following properties:
DatasetArns - The datasets belonging to the group.
CreationTime
LastModificationTime
Status
// Example sending a request using DescribeDatasetGroupRequest. req := client.DescribeDatasetGroupRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribeDatasetGroup
func (*Client) DescribeDatasetImportJobRequest ¶
func (c *Client) DescribeDatasetImportJobRequest(input *DescribeDatasetImportJobInput) DescribeDatasetImportJobRequest
DescribeDatasetImportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Describes a dataset import job created using the CreateDatasetImportJob operation.
In addition to listing the parameters provided in the CreateDatasetImportJob request, this operation includes the following properties:
CreationTime
LastModificationTime
DataSize
FieldStatistics
Status
Message - If an error occurred, information about the error.
// Example sending a request using DescribeDatasetImportJobRequest. req := client.DescribeDatasetImportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribeDatasetImportJob
func (*Client) DescribeDatasetRequest ¶
func (c *Client) DescribeDatasetRequest(input *DescribeDatasetInput) DescribeDatasetRequest
DescribeDatasetRequest returns a request value for making API operation for Amazon Forecast Service.
Describes an Amazon Forecast dataset created using the CreateDataset operation.
In addition to listing the parameters specified in the CreateDataset request, this operation includes the following dataset properties:
CreationTime
LastModificationTime
Status
// Example sending a request using DescribeDatasetRequest. req := client.DescribeDatasetRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribeDataset
func (*Client) DescribeForecastExportJobRequest ¶
func (c *Client) DescribeForecastExportJobRequest(input *DescribeForecastExportJobInput) DescribeForecastExportJobRequest
DescribeForecastExportJobRequest returns a request value for making API operation for Amazon Forecast Service.
Describes a forecast export job created using the CreateForecastExportJob operation.
In addition to listing the properties provided by the user in the CreateForecastExportJob request, this operation lists the following properties:
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.
// Example sending a request using DescribeForecastExportJobRequest. req := client.DescribeForecastExportJobRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribeForecastExportJob
func (*Client) DescribeForecastRequest ¶
func (c *Client) DescribeForecastRequest(input *DescribeForecastInput) DescribeForecastRequest
DescribeForecastRequest returns a request value for making API operation for Amazon Forecast Service.
Describes a forecast created using the CreateForecast operation.
In addition to listing the properties provided in the CreateForecast request, this operation lists the following properties:
DatasetGroupArn - The dataset group that provided the training data.
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.
// Example sending a request using DescribeForecastRequest. req := client.DescribeForecastRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribeForecast
func (*Client) DescribePredictorRequest ¶
func (c *Client) DescribePredictorRequest(input *DescribePredictorInput) DescribePredictorRequest
DescribePredictorRequest returns a request value for making API operation for Amazon Forecast Service.
Describes a predictor created using the CreatePredictor operation.
In addition to listing the properties provided in the CreatePredictor request, this operation lists the following properties:
DatasetImportJobArns - The dataset import jobs used to import training data.
AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.
// Example sending a request using DescribePredictorRequest. req := client.DescribePredictorRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/DescribePredictor
func (*Client) GetAccuracyMetricsRequest ¶
func (c *Client) GetAccuracyMetricsRequest(input *GetAccuracyMetricsInput) GetAccuracyMetricsRequest
GetAccuracyMetricsRequest returns a request value for making API operation for Amazon Forecast Service.
Provides metrics on the accuracy of the models that were trained by the CreatePredictor operation. Use metrics to see how well the model performed and to decide whether to use the predictor to generate a forecast. For more information, see metrics.
This operation generates metrics for each backtest window that was evaluated. The number of backtest windows (NumberOfBacktestWindows) is specified using the EvaluationParameters object, which is optionally included in the CreatePredictor request. If NumberOfBacktestWindows isn't specified, the number defaults to one.
The parameters of the filling method determine which items contribute to the metrics. If you want all items to contribute, specify zero. If you want only those items that have complete data in the range being evaluated to contribute, specify nan. For more information, see FeaturizationMethod.
Before you can get accuracy metrics, the Status of the predictor must be ACTIVE, signifying that training has completed. To get the status, use the DescribePredictor operation.
// Example sending a request using GetAccuracyMetricsRequest. req := client.GetAccuracyMetricsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/GetAccuracyMetrics
func (*Client) ListDatasetGroupsRequest ¶
func (c *Client) ListDatasetGroupsRequest(input *ListDatasetGroupsInput) ListDatasetGroupsRequest
ListDatasetGroupsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of dataset groups created using the CreateDatasetGroup operation. For each dataset group, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the dataset group ARN with the DescribeDatasetGroup operation.
// Example sending a request using ListDatasetGroupsRequest. req := client.ListDatasetGroupsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListDatasetGroups
func (*Client) ListDatasetImportJobsRequest ¶
func (c *Client) ListDatasetImportJobsRequest(input *ListDatasetImportJobsInput) ListDatasetImportJobsRequest
ListDatasetImportJobsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of dataset import jobs created using the CreateDatasetImportJob operation. For each import job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribeDatasetImportJob operation. You can filter the list by providing an array of Filter objects.
// Example sending a request using ListDatasetImportJobsRequest. req := client.ListDatasetImportJobsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListDatasetImportJobs
func (*Client) ListDatasetsRequest ¶
func (c *Client) ListDatasetsRequest(input *ListDatasetsInput) ListDatasetsRequest
ListDatasetsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of datasets created using the CreateDataset operation. For each dataset, a summary of its properties, including its Amazon Resource Name (ARN), is returned. To retrieve the complete set of properties, use the ARN with the DescribeDataset operation.
// Example sending a request using ListDatasetsRequest. req := client.ListDatasetsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListDatasets
func (*Client) ListForecastExportJobsRequest ¶
func (c *Client) ListForecastExportJobsRequest(input *ListForecastExportJobsInput) ListForecastExportJobsRequest
ListForecastExportJobsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of forecast export jobs created using the CreateForecastExportJob operation. For each forecast export job, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, use the ARN with the DescribeForecastExportJob operation. You can filter the list using an array of Filter objects.
// Example sending a request using ListForecastExportJobsRequest. req := client.ListForecastExportJobsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListForecastExportJobs
func (*Client) ListForecastsRequest ¶
func (c *Client) ListForecastsRequest(input *ListForecastsInput) ListForecastsRequest
ListForecastsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of forecasts created using the CreateForecast operation. For each forecast, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). To retrieve the complete set of properties, specify the ARN with the DescribeForecast operation. You can filter the list using an array of Filter objects.
// Example sending a request using ListForecastsRequest. req := client.ListForecastsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListForecasts
func (*Client) ListPredictorsRequest ¶
func (c *Client) ListPredictorsRequest(input *ListPredictorsInput) ListPredictorsRequest
ListPredictorsRequest returns a request value for making API operation for Amazon Forecast Service.
Returns a list of predictors created using the CreatePredictor operation. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN). You can retrieve the complete set of properties by using the ARN with the DescribePredictor operation. You can filter the list using an array of Filter objects.
// Example sending a request using ListPredictorsRequest. req := client.ListPredictorsRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListPredictors
func (*Client) ListTagsForResourceRequest ¶ added in v0.24.0
func (c *Client) ListTagsForResourceRequest(input *ListTagsForResourceInput) ListTagsForResourceRequest
ListTagsForResourceRequest returns a request value for making API operation for Amazon Forecast Service.
Lists the tags for an Amazon Forecast resource.
// Example sending a request using ListTagsForResourceRequest. req := client.ListTagsForResourceRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/ListTagsForResource
func (*Client) TagResourceRequest ¶ added in v0.24.0
func (c *Client) TagResourceRequest(input *TagResourceInput) TagResourceRequest
TagResourceRequest returns a request value for making API operation for Amazon Forecast Service.
Associates the specified tags to a resource with the specified resourceArn. If existing tags on a resource are not specified in the request parameters, they are not changed. When a resource is deleted, the tags associated with that resource are also deleted.
// Example sending a request using TagResourceRequest. req := client.TagResourceRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/TagResource
func (*Client) UntagResourceRequest ¶ added in v0.24.0
func (c *Client) UntagResourceRequest(input *UntagResourceInput) UntagResourceRequest
UntagResourceRequest returns a request value for making API operation for Amazon Forecast Service.
Deletes the specified tags from a resource.
// Example sending a request using UntagResourceRequest. req := client.UntagResourceRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/UntagResource
func (*Client) UpdateDatasetGroupRequest ¶
func (c *Client) UpdateDatasetGroupRequest(input *UpdateDatasetGroupInput) UpdateDatasetGroupRequest
UpdateDatasetGroupRequest returns a request value for making API operation for Amazon Forecast Service.
Replaces the datasets in a dataset group with the specified datasets.
The Status of the dataset group must be ACTIVE before you can use the dataset group to create a predictor. Use the DescribeDatasetGroup operation to get the status.
// Example sending a request using UpdateDatasetGroupRequest. req := client.UpdateDatasetGroupRequest(params) resp, err := req.Send(context.TODO()) if err == nil { fmt.Println(resp) }
Please also see https://docs.aws.amazon.com/goto/WebAPI/forecast-2018-06-26/UpdateDatasetGroup
type ContinuousParameterRange ¶
type ContinuousParameterRange struct { // The maximum tunable value of the hyperparameter. // // MaxValue is a required field MaxValue *float64 `type:"double" required:"true"` // The minimum tunable value of the hyperparameter. // // MinValue is a required field MinValue *float64 `type:"double" required:"true"` // The name of the hyperparameter to tune. // // Name is a required field Name *string `min:"1" type:"string" required:"true"` // The scale that hyperparameter tuning uses to search the hyperparameter range. // Valid values: // // Auto // // Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter. // // Linear // // Hyperparameter tuning searches the values in the hyperparameter range by // using a linear scale. // // Logarithmic // // Hyperparameter tuning searches the values in the hyperparameter range by // using a logarithmic scale. // // Logarithmic scaling works only for ranges that have values greater than 0. // // ReverseLogarithmic // // hyperparameter tuning searches the values in the hyperparameter range by // using a reverse logarithmic scale. // // Reverse logarithmic scaling works only for ranges that are entirely within // the range 0 <= x < 1.0. // // For information about choosing a hyperparameter scale, see Hyperparameter // Scaling (http://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type). // One of the following values: ScalingType ScalingType `type:"string" enum:"true"` // contains filtered or unexported fields }
Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
func (ContinuousParameterRange) String ¶
func (s ContinuousParameterRange) String() string
String returns the string representation
func (*ContinuousParameterRange) Validate ¶
func (s *ContinuousParameterRange) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateDatasetGroupInput ¶
type CreateDatasetGroupInput struct { // An array of Amazon Resource Names (ARNs) of the datasets that you want to // include in the dataset group. DatasetArns []string `type:"list"` // A name for the dataset group. // // DatasetGroupName is a required field DatasetGroupName *string `min:"1" type:"string" required:"true"` // The domain associated with the dataset group. When you add a dataset to a // dataset group, this value and the value specified for the Domain parameter // of the CreateDataset operation must match. // // The Domain and DatasetType that you choose determine the fields that must // be present in training data that you import to a dataset. For example, if // you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, Amazon // Forecast requires that item_id, timestamp, and demand fields are present // in your data. For more information, see howitworks-datasets-groups. // // Domain is a required field Domain Domain `type:"string" required:"true" enum:"true"` // The optional metadata that you apply to the dataset group to help you categorize // and organize them. Each tag consists of a key and an optional value, both // of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // contains filtered or unexported fields }
func (CreateDatasetGroupInput) String ¶
func (s CreateDatasetGroupInput) String() string
String returns the string representation
func (*CreateDatasetGroupInput) Validate ¶
func (s *CreateDatasetGroupInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateDatasetGroupOutput ¶
type CreateDatasetGroupOutput struct { // The Amazon Resource Name (ARN) of the dataset group. DatasetGroupArn *string `type:"string"` // contains filtered or unexported fields }
func (CreateDatasetGroupOutput) String ¶
func (s CreateDatasetGroupOutput) String() string
String returns the string representation
type CreateDatasetGroupRequest ¶
type CreateDatasetGroupRequest struct { *aws.Request Input *CreateDatasetGroupInput Copy func(*CreateDatasetGroupInput) CreateDatasetGroupRequest }
CreateDatasetGroupRequest is the request type for the CreateDatasetGroup API operation.
func (CreateDatasetGroupRequest) Send ¶
func (r CreateDatasetGroupRequest) Send(ctx context.Context) (*CreateDatasetGroupResponse, error)
Send marshals and sends the CreateDatasetGroup API request.
type CreateDatasetGroupResponse ¶
type CreateDatasetGroupResponse struct { *CreateDatasetGroupOutput // contains filtered or unexported fields }
CreateDatasetGroupResponse is the response type for the CreateDatasetGroup API operation.
func (*CreateDatasetGroupResponse) SDKResponseMetdata ¶
func (r *CreateDatasetGroupResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreateDatasetGroup request.
type CreateDatasetImportJobInput ¶
type CreateDatasetImportJobInput struct { // The location of the training data to import and an AWS Identity and Access // Management (IAM) role that Amazon Forecast can assume to access the data. // The training data must be stored in an Amazon S3 bucket. // // If encryption is used, DataSource must include an AWS Key Management Service // (KMS) key and the IAM role must allow Amazon Forecast permission to access // the key. The KMS key and IAM role must match those specified in the EncryptionConfig // parameter of the CreateDataset operation. // // DataSource is a required field DataSource *DataSource `type:"structure" required:"true"` // The Amazon Resource Name (ARN) of the Amazon Forecast dataset that you want // to import data to. // // DatasetArn is a required field DatasetArn *string `type:"string" required:"true"` // The name for the dataset import job. We recommend including the current timestamp // in the name, for example, 20190721DatasetImport. This can help you avoid // getting a ResourceAlreadyExistsException exception. // // DatasetImportJobName is a required field DatasetImportJobName *string `min:"1" type:"string" required:"true"` // The optional metadata that you apply to the dataset import job to help you // categorize and organize them. Each tag consists of a key and an optional // value, both of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // The format of timestamps in the dataset. The format that you specify depends // on the DataFrequency specified when the dataset was created. The following // formats are supported // // * "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D // // * "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min, // 15min, and 1min; and optionally, for: Y, M, W, and D // // If the format isn't specified, Amazon Forecast expects the format to be "yyyy-MM-dd // HH:mm:ss". TimestampFormat *string `type:"string"` // contains filtered or unexported fields }
func (CreateDatasetImportJobInput) String ¶
func (s CreateDatasetImportJobInput) String() string
String returns the string representation
func (*CreateDatasetImportJobInput) Validate ¶
func (s *CreateDatasetImportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateDatasetImportJobOutput ¶
type CreateDatasetImportJobOutput struct { // The Amazon Resource Name (ARN) of the dataset import job. DatasetImportJobArn *string `type:"string"` // contains filtered or unexported fields }
func (CreateDatasetImportJobOutput) String ¶
func (s CreateDatasetImportJobOutput) String() string
String returns the string representation
type CreateDatasetImportJobRequest ¶
type CreateDatasetImportJobRequest struct { *aws.Request Input *CreateDatasetImportJobInput Copy func(*CreateDatasetImportJobInput) CreateDatasetImportJobRequest }
CreateDatasetImportJobRequest is the request type for the CreateDatasetImportJob API operation.
func (CreateDatasetImportJobRequest) Send ¶
func (r CreateDatasetImportJobRequest) Send(ctx context.Context) (*CreateDatasetImportJobResponse, error)
Send marshals and sends the CreateDatasetImportJob API request.
type CreateDatasetImportJobResponse ¶
type CreateDatasetImportJobResponse struct { *CreateDatasetImportJobOutput // contains filtered or unexported fields }
CreateDatasetImportJobResponse is the response type for the CreateDatasetImportJob API operation.
func (*CreateDatasetImportJobResponse) SDKResponseMetdata ¶
func (r *CreateDatasetImportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreateDatasetImportJob request.
type CreateDatasetInput ¶
type CreateDatasetInput struct { // The frequency of data collection. This parameter is required for RELATED_TIME_SERIES // datasets. // // Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min // (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and // 1min (1 minute). For example, "D" indicates every day and "15min" indicates // every 15 minutes. DataFrequency *string `type:"string"` // A name for the dataset. // // DatasetName is a required field DatasetName *string `min:"1" type:"string" required:"true"` // The dataset type. Valid values depend on the chosen Domain. // // DatasetType is a required field DatasetType DatasetType `type:"string" required:"true" enum:"true"` // The domain associated with the dataset. When you add a dataset to a dataset // group, this value and the value specified for the Domain parameter of the // CreateDatasetGroup operation must match. // // The Domain and DatasetType that you choose determine the fields that must // be present in the training data that you import to the dataset. For example, // if you choose the RETAIL domain and TARGET_TIME_SERIES as the DatasetType, // Amazon Forecast requires item_id, timestamp, and demand fields to be present // in your data. For more information, see howitworks-datasets-groups. // // Domain is a required field Domain Domain `type:"string" required:"true" enum:"true"` // An AWS Key Management Service (KMS) key and the AWS Identity and Access Management // (IAM) role that Amazon Forecast can assume to access the key. EncryptionConfig *EncryptionConfig `type:"structure"` // The schema for the dataset. The schema attributes and their order must match // the fields in your data. The dataset Domain and DatasetType that you choose // determine the minimum required fields in your training data. For information // about the required fields for a specific dataset domain and type, see howitworks-domains-ds-types. // // Schema is a required field Schema *Schema `type:"structure" required:"true"` // The optional metadata that you apply to the dataset to help you categorize // and organize them. Each tag consists of a key and an optional value, both // of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // contains filtered or unexported fields }
func (CreateDatasetInput) String ¶
func (s CreateDatasetInput) String() string
String returns the string representation
func (*CreateDatasetInput) Validate ¶
func (s *CreateDatasetInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateDatasetOutput ¶
type CreateDatasetOutput struct { // The Amazon Resource Name (ARN) of the dataset. DatasetArn *string `type:"string"` // contains filtered or unexported fields }
func (CreateDatasetOutput) String ¶
func (s CreateDatasetOutput) String() string
String returns the string representation
type CreateDatasetRequest ¶
type CreateDatasetRequest struct { *aws.Request Input *CreateDatasetInput Copy func(*CreateDatasetInput) CreateDatasetRequest }
CreateDatasetRequest is the request type for the CreateDataset API operation.
func (CreateDatasetRequest) Send ¶
func (r CreateDatasetRequest) Send(ctx context.Context) (*CreateDatasetResponse, error)
Send marshals and sends the CreateDataset API request.
type CreateDatasetResponse ¶
type CreateDatasetResponse struct { *CreateDatasetOutput // contains filtered or unexported fields }
CreateDatasetResponse is the response type for the CreateDataset API operation.
func (*CreateDatasetResponse) SDKResponseMetdata ¶
func (r *CreateDatasetResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreateDataset request.
type CreateForecastExportJobInput ¶
type CreateForecastExportJobInput struct { // The location where you want to save the forecast and an AWS Identity and // Access Management (IAM) role that Amazon Forecast can assume to access the // location. The forecast must be exported to an Amazon S3 bucket. // // If encryption is used, Destination must include an AWS Key Management Service // (KMS) key. The IAM role must allow Amazon Forecast permission to access the // key. // // Destination is a required field Destination *DataDestination `type:"structure" required:"true"` // The Amazon Resource Name (ARN) of the forecast that you want to export. // // ForecastArn is a required field ForecastArn *string `type:"string" required:"true"` // The name for the forecast export job. // // ForecastExportJobName is a required field ForecastExportJobName *string `min:"1" type:"string" required:"true"` // The optional metadata that you apply to the forecast export job to help you // categorize and organize them. Each tag consists of a key and an optional // value, both of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // contains filtered or unexported fields }
func (CreateForecastExportJobInput) String ¶
func (s CreateForecastExportJobInput) String() string
String returns the string representation
func (*CreateForecastExportJobInput) Validate ¶
func (s *CreateForecastExportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateForecastExportJobOutput ¶
type CreateForecastExportJobOutput struct { // The Amazon Resource Name (ARN) of the export job. ForecastExportJobArn *string `type:"string"` // contains filtered or unexported fields }
func (CreateForecastExportJobOutput) String ¶
func (s CreateForecastExportJobOutput) String() string
String returns the string representation
type CreateForecastExportJobRequest ¶
type CreateForecastExportJobRequest struct { *aws.Request Input *CreateForecastExportJobInput Copy func(*CreateForecastExportJobInput) CreateForecastExportJobRequest }
CreateForecastExportJobRequest is the request type for the CreateForecastExportJob API operation.
func (CreateForecastExportJobRequest) Send ¶
func (r CreateForecastExportJobRequest) Send(ctx context.Context) (*CreateForecastExportJobResponse, error)
Send marshals and sends the CreateForecastExportJob API request.
type CreateForecastExportJobResponse ¶
type CreateForecastExportJobResponse struct { *CreateForecastExportJobOutput // contains filtered or unexported fields }
CreateForecastExportJobResponse is the response type for the CreateForecastExportJob API operation.
func (*CreateForecastExportJobResponse) SDKResponseMetdata ¶
func (r *CreateForecastExportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreateForecastExportJob request.
type CreateForecastInput ¶
type CreateForecastInput struct { // A name for the forecast. // // ForecastName is a required field ForecastName *string `min:"1" type:"string" required:"true"` // The quantiles at which probabilistic forecasts are generated. You can currently // specify up to 5 quantiles per forecast. Accepted values include 0.01 to 0.99 // (increments of .01 only) and mean. The mean forecast is different from the // median (0.50) when the distribution is not symmetric (for example, Beta and // Negative Binomial). The default value is ["0.1", "0.5", "0.9"]. ForecastTypes []string `min:"1" type:"list"` // The Amazon Resource Name (ARN) of the predictor to use to generate the forecast. // // PredictorArn is a required field PredictorArn *string `type:"string" required:"true"` // The optional metadata that you apply to the forecast to help you categorize // and organize them. Each tag consists of a key and an optional value, both // of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // contains filtered or unexported fields }
func (CreateForecastInput) String ¶
func (s CreateForecastInput) String() string
String returns the string representation
func (*CreateForecastInput) Validate ¶
func (s *CreateForecastInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreateForecastOutput ¶
type CreateForecastOutput struct { // The Amazon Resource Name (ARN) of the forecast. ForecastArn *string `type:"string"` // contains filtered or unexported fields }
func (CreateForecastOutput) String ¶
func (s CreateForecastOutput) String() string
String returns the string representation
type CreateForecastRequest ¶
type CreateForecastRequest struct { *aws.Request Input *CreateForecastInput Copy func(*CreateForecastInput) CreateForecastRequest }
CreateForecastRequest is the request type for the CreateForecast API operation.
func (CreateForecastRequest) Send ¶
func (r CreateForecastRequest) Send(ctx context.Context) (*CreateForecastResponse, error)
Send marshals and sends the CreateForecast API request.
type CreateForecastResponse ¶
type CreateForecastResponse struct { *CreateForecastOutput // contains filtered or unexported fields }
CreateForecastResponse is the response type for the CreateForecast API operation.
func (*CreateForecastResponse) SDKResponseMetdata ¶
func (r *CreateForecastResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreateForecast request.
type CreatePredictorInput ¶
type CreatePredictorInput struct { // The Amazon Resource Name (ARN) of the algorithm to use for model training. // Required if PerformAutoML is not set to true. // // Supported algorithms: // // * arn:aws:forecast:::algorithm/ARIMA // // * arn:aws:forecast:::algorithm/Deep_AR_Plus Supports hyperparameter optimization // (HPO) // // * arn:aws:forecast:::algorithm/ETS // // * arn:aws:forecast:::algorithm/NPTS // // * arn:aws:forecast:::algorithm/Prophet AlgorithmArn *string `type:"string"` // An AWS Key Management Service (KMS) key and the AWS Identity and Access Management // (IAM) role that Amazon Forecast can assume to access the key. EncryptionConfig *EncryptionConfig `type:"structure"` // Used to override the default evaluation parameters of the specified algorithm. // Amazon Forecast evaluates a predictor by splitting a dataset into training // data and testing data. The evaluation parameters define how to perform the // split and the number of iterations. EvaluationParameters *EvaluationParameters `type:"structure"` // The featurization configuration. // // FeaturizationConfig is a required field FeaturizationConfig *FeaturizationConfig `type:"structure" required:"true"` // Specifies the number of time-steps that the model is trained to predict. // The forecast horizon is also called the prediction length. // // For example, if you configure a dataset for daily data collection (using // the DataFrequency parameter of the CreateDataset operation) and set the forecast // horizon to 10, the model returns predictions for 10 days. // // The maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the // TARGET_TIME_SERIES dataset length. // // ForecastHorizon is a required field ForecastHorizon *int64 `type:"integer" required:"true"` // Provides hyperparameter override values for the algorithm. If you don't provide // this parameter, Amazon Forecast uses default values. The individual algorithms // specify which hyperparameters support hyperparameter optimization (HPO). // For more information, see aws-forecast-choosing-recipes. // // If you included the HPOConfig object, you must set PerformHPO to true. HPOConfig *HyperParameterTuningJobConfig `type:"structure"` // Describes the dataset group that contains the data to use to train the predictor. // // InputDataConfig is a required field InputDataConfig *InputDataConfig `type:"structure" required:"true"` // Whether to perform AutoML. When Amazon Forecast performs AutoML, it evaluates // the algorithms it provides and chooses the best algorithm and configuration // for your training dataset. // // The default value is false. In this case, you are required to specify an // algorithm. // // Set PerformAutoML to true to have Amazon Forecast perform AutoML. This is // a good option if you aren't sure which algorithm is suitable for your training // data. In this case, PerformHPO must be false. PerformAutoML *bool `type:"boolean"` // Whether to perform hyperparameter optimization (HPO). HPO finds optimal hyperparameter // values for your training data. The process of performing HPO is known as // running a hyperparameter tuning job. // // The default value is false. In this case, Amazon Forecast uses default hyperparameter // values from the chosen algorithm. // // To override the default values, set PerformHPO to true and, optionally, supply // the HyperParameterTuningJobConfig object. The tuning job specifies a metric // to optimize, which hyperparameters participate in tuning, and the valid range // for each tunable hyperparameter. In this case, you are required to specify // an algorithm and PerformAutoML must be false. // // The following algorithm supports HPO: // // * DeepAR+ PerformHPO *bool `type:"boolean"` // A name for the predictor. // // PredictorName is a required field PredictorName *string `min:"1" type:"string" required:"true"` // The optional metadata that you apply to the predictor to help you categorize // and organize them. Each tag consists of a key and an optional value, both // of which you define. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. Tags []Tag `type:"list"` // The hyperparameters to override for model training. The hyperparameters that // you can override are listed in the individual algorithms. For the list of // supported algorithms, see aws-forecast-choosing-recipes. TrainingParameters map[string]string `type:"map"` // contains filtered or unexported fields }
func (CreatePredictorInput) String ¶
func (s CreatePredictorInput) String() string
String returns the string representation
func (*CreatePredictorInput) Validate ¶
func (s *CreatePredictorInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type CreatePredictorOutput ¶
type CreatePredictorOutput struct { // The Amazon Resource Name (ARN) of the predictor. PredictorArn *string `type:"string"` // contains filtered or unexported fields }
func (CreatePredictorOutput) String ¶
func (s CreatePredictorOutput) String() string
String returns the string representation
type CreatePredictorRequest ¶
type CreatePredictorRequest struct { *aws.Request Input *CreatePredictorInput Copy func(*CreatePredictorInput) CreatePredictorRequest }
CreatePredictorRequest is the request type for the CreatePredictor API operation.
func (CreatePredictorRequest) Send ¶
func (r CreatePredictorRequest) Send(ctx context.Context) (*CreatePredictorResponse, error)
Send marshals and sends the CreatePredictor API request.
type CreatePredictorResponse ¶
type CreatePredictorResponse struct { *CreatePredictorOutput // contains filtered or unexported fields }
CreatePredictorResponse is the response type for the CreatePredictor API operation.
func (*CreatePredictorResponse) SDKResponseMetdata ¶
func (r *CreatePredictorResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the CreatePredictor request.
type DataDestination ¶
type DataDestination struct { // The path to an Amazon Simple Storage Service (Amazon S3) bucket along with // the credentials to access the bucket. // // S3Config is a required field S3Config *S3Config `type:"structure" required:"true"` // contains filtered or unexported fields }
The destination for an exported forecast, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the location and, optionally, an AWS Key Management Service (KMS) key. This object is submitted in the CreateForecastExportJob request.
func (DataDestination) String ¶
func (s DataDestination) String() string
String returns the string representation
func (*DataDestination) Validate ¶
func (s *DataDestination) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DataSource ¶
type DataSource struct { // The path to the training data stored in an Amazon Simple Storage Service // (Amazon S3) bucket along with the credentials to access the data. // // S3Config is a required field S3Config *S3Config `type:"structure" required:"true"` // contains filtered or unexported fields }
The source of your training data, an AWS Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an AWS Key Management Service (KMS) key. This object is submitted in the CreateDatasetImportJob request.
func (DataSource) String ¶
func (s DataSource) String() string
String returns the string representation
func (*DataSource) Validate ¶
func (s *DataSource) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DatasetGroupSummary ¶
type DatasetGroupSummary struct { // When the dataset group was created. CreationTime *time.Time `type:"timestamp"` // The Amazon Resource Name (ARN) of the dataset group. DatasetGroupArn *string `type:"string"` // The name of the dataset group. DatasetGroupName *string `min:"1" type:"string"` // When the dataset group was created or last updated from a call to the UpdateDatasetGroup // operation. While the dataset group is being updated, LastModificationTime // is the current time of the ListDatasetGroups call. LastModificationTime *time.Time `type:"timestamp"` // contains filtered or unexported fields }
Provides a summary of the dataset group properties used in the ListDatasetGroups operation. To get the complete set of properties, call the DescribeDatasetGroup operation, and provide the DatasetGroupArn.
func (DatasetGroupSummary) String ¶
func (s DatasetGroupSummary) String() string
String returns the string representation
type DatasetImportJobSummary ¶
type DatasetImportJobSummary struct { // When the dataset import job was created. CreationTime *time.Time `type:"timestamp"` // The location of the training data to import and an AWS Identity and Access // Management (IAM) role that Amazon Forecast can assume to access the data. // The training data must be stored in an Amazon S3 bucket. // // If encryption is used, DataSource includes an AWS Key Management Service // (KMS) key. DataSource *DataSource `type:"structure"` // The Amazon Resource Name (ARN) of the dataset import job. DatasetImportJobArn *string `type:"string"` // The name of the dataset import job. DatasetImportJobName *string `min:"1" type:"string"` // The last time that the dataset was modified. The time depends on the status // of the job, as follows: // // * CREATE_PENDING - The same time as CreationTime. // // * CREATE_IN_PROGRESS - The current timestamp. // // * ACTIVE or CREATE_FAILED - When the job finished or failed. LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The status of the dataset import job. The status is reflected in the status // of the dataset. For example, when the import job status is CREATE_IN_PROGRESS, // the status of the dataset is UPDATE_IN_PROGRESS. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED Status *string `type:"string"` // contains filtered or unexported fields }
Provides a summary of the dataset import job properties used in the ListDatasetImportJobs operation. To get the complete set of properties, call the DescribeDatasetImportJob operation, and provide the DatasetImportJobArn.
func (DatasetImportJobSummary) String ¶
func (s DatasetImportJobSummary) String() string
String returns the string representation
type DatasetSummary ¶
type DatasetSummary struct { // When the dataset was created. CreationTime *time.Time `type:"timestamp"` // The Amazon Resource Name (ARN) of the dataset. DatasetArn *string `type:"string"` // The name of the dataset. DatasetName *string `min:"1" type:"string"` // The dataset type. DatasetType DatasetType `type:"string" enum:"true"` // The domain associated with the dataset. Domain Domain `type:"string" enum:"true"` // When you create a dataset, LastModificationTime is the same as CreationTime. // While data is being imported to the dataset, LastModificationTime is the // current time of the ListDatasets call. After a CreateDatasetImportJob operation // has finished, LastModificationTime is when the import job completed or failed. LastModificationTime *time.Time `type:"timestamp"` // contains filtered or unexported fields }
Provides a summary of the dataset properties used in the ListDatasets operation. To get the complete set of properties, call the DescribeDataset operation, and provide the DatasetArn.
func (DatasetSummary) String ¶
func (s DatasetSummary) String() string
String returns the string representation
type DatasetType ¶
type DatasetType string
const ( DatasetTypeTargetTimeSeries DatasetType = "TARGET_TIME_SERIES" DatasetTypeRelatedTimeSeries DatasetType = "RELATED_TIME_SERIES" DatasetTypeItemMetadata DatasetType = "ITEM_METADATA" )
Enum values for DatasetType
func (DatasetType) MarshalValue ¶
func (enum DatasetType) MarshalValue() (string, error)
func (DatasetType) MarshalValueBuf ¶
func (enum DatasetType) MarshalValueBuf(b []byte) ([]byte, error)
type DeleteDatasetGroupInput ¶
type DeleteDatasetGroupInput struct { // The Amazon Resource Name (ARN) of the dataset group to delete. // // DatasetGroupArn is a required field DatasetGroupArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeleteDatasetGroupInput) String ¶
func (s DeleteDatasetGroupInput) String() string
String returns the string representation
func (*DeleteDatasetGroupInput) Validate ¶
func (s *DeleteDatasetGroupInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeleteDatasetGroupOutput ¶
type DeleteDatasetGroupOutput struct {
// contains filtered or unexported fields
}
func (DeleteDatasetGroupOutput) String ¶
func (s DeleteDatasetGroupOutput) String() string
String returns the string representation
type DeleteDatasetGroupRequest ¶
type DeleteDatasetGroupRequest struct { *aws.Request Input *DeleteDatasetGroupInput Copy func(*DeleteDatasetGroupInput) DeleteDatasetGroupRequest }
DeleteDatasetGroupRequest is the request type for the DeleteDatasetGroup API operation.
func (DeleteDatasetGroupRequest) Send ¶
func (r DeleteDatasetGroupRequest) Send(ctx context.Context) (*DeleteDatasetGroupResponse, error)
Send marshals and sends the DeleteDatasetGroup API request.
type DeleteDatasetGroupResponse ¶
type DeleteDatasetGroupResponse struct { *DeleteDatasetGroupOutput // contains filtered or unexported fields }
DeleteDatasetGroupResponse is the response type for the DeleteDatasetGroup API operation.
func (*DeleteDatasetGroupResponse) SDKResponseMetdata ¶
func (r *DeleteDatasetGroupResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeleteDatasetGroup request.
type DeleteDatasetImportJobInput ¶
type DeleteDatasetImportJobInput struct { // The Amazon Resource Name (ARN) of the dataset import job to delete. // // DatasetImportJobArn is a required field DatasetImportJobArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeleteDatasetImportJobInput) String ¶
func (s DeleteDatasetImportJobInput) String() string
String returns the string representation
func (*DeleteDatasetImportJobInput) Validate ¶
func (s *DeleteDatasetImportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeleteDatasetImportJobOutput ¶
type DeleteDatasetImportJobOutput struct {
// contains filtered or unexported fields
}
func (DeleteDatasetImportJobOutput) String ¶
func (s DeleteDatasetImportJobOutput) String() string
String returns the string representation
type DeleteDatasetImportJobRequest ¶
type DeleteDatasetImportJobRequest struct { *aws.Request Input *DeleteDatasetImportJobInput Copy func(*DeleteDatasetImportJobInput) DeleteDatasetImportJobRequest }
DeleteDatasetImportJobRequest is the request type for the DeleteDatasetImportJob API operation.
func (DeleteDatasetImportJobRequest) Send ¶
func (r DeleteDatasetImportJobRequest) Send(ctx context.Context) (*DeleteDatasetImportJobResponse, error)
Send marshals and sends the DeleteDatasetImportJob API request.
type DeleteDatasetImportJobResponse ¶
type DeleteDatasetImportJobResponse struct { *DeleteDatasetImportJobOutput // contains filtered or unexported fields }
DeleteDatasetImportJobResponse is the response type for the DeleteDatasetImportJob API operation.
func (*DeleteDatasetImportJobResponse) SDKResponseMetdata ¶
func (r *DeleteDatasetImportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeleteDatasetImportJob request.
type DeleteDatasetInput ¶
type DeleteDatasetInput struct { // The Amazon Resource Name (ARN) of the dataset to delete. // // DatasetArn is a required field DatasetArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeleteDatasetInput) String ¶
func (s DeleteDatasetInput) String() string
String returns the string representation
func (*DeleteDatasetInput) Validate ¶
func (s *DeleteDatasetInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeleteDatasetOutput ¶
type DeleteDatasetOutput struct {
// contains filtered or unexported fields
}
func (DeleteDatasetOutput) String ¶
func (s DeleteDatasetOutput) String() string
String returns the string representation
type DeleteDatasetRequest ¶
type DeleteDatasetRequest struct { *aws.Request Input *DeleteDatasetInput Copy func(*DeleteDatasetInput) DeleteDatasetRequest }
DeleteDatasetRequest is the request type for the DeleteDataset API operation.
func (DeleteDatasetRequest) Send ¶
func (r DeleteDatasetRequest) Send(ctx context.Context) (*DeleteDatasetResponse, error)
Send marshals and sends the DeleteDataset API request.
type DeleteDatasetResponse ¶
type DeleteDatasetResponse struct { *DeleteDatasetOutput // contains filtered or unexported fields }
DeleteDatasetResponse is the response type for the DeleteDataset API operation.
func (*DeleteDatasetResponse) SDKResponseMetdata ¶
func (r *DeleteDatasetResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeleteDataset request.
type DeleteForecastExportJobInput ¶
type DeleteForecastExportJobInput struct { // The Amazon Resource Name (ARN) of the forecast export job to delete. // // ForecastExportJobArn is a required field ForecastExportJobArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeleteForecastExportJobInput) String ¶
func (s DeleteForecastExportJobInput) String() string
String returns the string representation
func (*DeleteForecastExportJobInput) Validate ¶
func (s *DeleteForecastExportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeleteForecastExportJobOutput ¶
type DeleteForecastExportJobOutput struct {
// contains filtered or unexported fields
}
func (DeleteForecastExportJobOutput) String ¶
func (s DeleteForecastExportJobOutput) String() string
String returns the string representation
type DeleteForecastExportJobRequest ¶
type DeleteForecastExportJobRequest struct { *aws.Request Input *DeleteForecastExportJobInput Copy func(*DeleteForecastExportJobInput) DeleteForecastExportJobRequest }
DeleteForecastExportJobRequest is the request type for the DeleteForecastExportJob API operation.
func (DeleteForecastExportJobRequest) Send ¶
func (r DeleteForecastExportJobRequest) Send(ctx context.Context) (*DeleteForecastExportJobResponse, error)
Send marshals and sends the DeleteForecastExportJob API request.
type DeleteForecastExportJobResponse ¶
type DeleteForecastExportJobResponse struct { *DeleteForecastExportJobOutput // contains filtered or unexported fields }
DeleteForecastExportJobResponse is the response type for the DeleteForecastExportJob API operation.
func (*DeleteForecastExportJobResponse) SDKResponseMetdata ¶
func (r *DeleteForecastExportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeleteForecastExportJob request.
type DeleteForecastInput ¶
type DeleteForecastInput struct { // The Amazon Resource Name (ARN) of the forecast to delete. // // ForecastArn is a required field ForecastArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeleteForecastInput) String ¶
func (s DeleteForecastInput) String() string
String returns the string representation
func (*DeleteForecastInput) Validate ¶
func (s *DeleteForecastInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeleteForecastOutput ¶
type DeleteForecastOutput struct {
// contains filtered or unexported fields
}
func (DeleteForecastOutput) String ¶
func (s DeleteForecastOutput) String() string
String returns the string representation
type DeleteForecastRequest ¶
type DeleteForecastRequest struct { *aws.Request Input *DeleteForecastInput Copy func(*DeleteForecastInput) DeleteForecastRequest }
DeleteForecastRequest is the request type for the DeleteForecast API operation.
func (DeleteForecastRequest) Send ¶
func (r DeleteForecastRequest) Send(ctx context.Context) (*DeleteForecastResponse, error)
Send marshals and sends the DeleteForecast API request.
type DeleteForecastResponse ¶
type DeleteForecastResponse struct { *DeleteForecastOutput // contains filtered or unexported fields }
DeleteForecastResponse is the response type for the DeleteForecast API operation.
func (*DeleteForecastResponse) SDKResponseMetdata ¶
func (r *DeleteForecastResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeleteForecast request.
type DeletePredictorInput ¶
type DeletePredictorInput struct { // The Amazon Resource Name (ARN) of the predictor to delete. // // PredictorArn is a required field PredictorArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DeletePredictorInput) String ¶
func (s DeletePredictorInput) String() string
String returns the string representation
func (*DeletePredictorInput) Validate ¶
func (s *DeletePredictorInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DeletePredictorOutput ¶
type DeletePredictorOutput struct {
// contains filtered or unexported fields
}
func (DeletePredictorOutput) String ¶
func (s DeletePredictorOutput) String() string
String returns the string representation
type DeletePredictorRequest ¶
type DeletePredictorRequest struct { *aws.Request Input *DeletePredictorInput Copy func(*DeletePredictorInput) DeletePredictorRequest }
DeletePredictorRequest is the request type for the DeletePredictor API operation.
func (DeletePredictorRequest) Send ¶
func (r DeletePredictorRequest) Send(ctx context.Context) (*DeletePredictorResponse, error)
Send marshals and sends the DeletePredictor API request.
type DeletePredictorResponse ¶
type DeletePredictorResponse struct { *DeletePredictorOutput // contains filtered or unexported fields }
DeletePredictorResponse is the response type for the DeletePredictor API operation.
func (*DeletePredictorResponse) SDKResponseMetdata ¶
func (r *DeletePredictorResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DeletePredictor request.
type DescribeDatasetGroupInput ¶
type DescribeDatasetGroupInput struct { // The Amazon Resource Name (ARN) of the dataset group. // // DatasetGroupArn is a required field DatasetGroupArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribeDatasetGroupInput) String ¶
func (s DescribeDatasetGroupInput) String() string
String returns the string representation
func (*DescribeDatasetGroupInput) Validate ¶
func (s *DescribeDatasetGroupInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribeDatasetGroupOutput ¶
type DescribeDatasetGroupOutput struct { // When the dataset group was created. CreationTime *time.Time `type:"timestamp"` // An array of Amazon Resource Names (ARNs) of the datasets contained in the // dataset group. DatasetArns []string `type:"list"` // The ARN of the dataset group. DatasetGroupArn *string `type:"string"` // The name of the dataset group. DatasetGroupName *string `min:"1" type:"string"` // The domain associated with the dataset group. Domain Domain `type:"string" enum:"true"` // When the dataset group was created or last updated from a call to the UpdateDatasetGroup // operation. While the dataset group is being updated, LastModificationTime // is the current time of the DescribeDatasetGroup call. LastModificationTime *time.Time `type:"timestamp"` // The status of the dataset group. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED // // The UPDATE states apply when you call the UpdateDatasetGroup operation. // // The Status of the dataset group must be ACTIVE before you can use the dataset // group to create a predictor. Status *string `type:"string"` // contains filtered or unexported fields }
func (DescribeDatasetGroupOutput) String ¶
func (s DescribeDatasetGroupOutput) String() string
String returns the string representation
type DescribeDatasetGroupRequest ¶
type DescribeDatasetGroupRequest struct { *aws.Request Input *DescribeDatasetGroupInput Copy func(*DescribeDatasetGroupInput) DescribeDatasetGroupRequest }
DescribeDatasetGroupRequest is the request type for the DescribeDatasetGroup API operation.
func (DescribeDatasetGroupRequest) Send ¶
func (r DescribeDatasetGroupRequest) Send(ctx context.Context) (*DescribeDatasetGroupResponse, error)
Send marshals and sends the DescribeDatasetGroup API request.
type DescribeDatasetGroupResponse ¶
type DescribeDatasetGroupResponse struct { *DescribeDatasetGroupOutput // contains filtered or unexported fields }
DescribeDatasetGroupResponse is the response type for the DescribeDatasetGroup API operation.
func (*DescribeDatasetGroupResponse) SDKResponseMetdata ¶
func (r *DescribeDatasetGroupResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribeDatasetGroup request.
type DescribeDatasetImportJobInput ¶
type DescribeDatasetImportJobInput struct { // The Amazon Resource Name (ARN) of the dataset import job. // // DatasetImportJobArn is a required field DatasetImportJobArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribeDatasetImportJobInput) String ¶
func (s DescribeDatasetImportJobInput) String() string
String returns the string representation
func (*DescribeDatasetImportJobInput) Validate ¶
func (s *DescribeDatasetImportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribeDatasetImportJobOutput ¶
type DescribeDatasetImportJobOutput struct { // When the dataset import job was created. CreationTime *time.Time `type:"timestamp"` // The size of the dataset in gigabytes (GB) after the import job has finished. DataSize *float64 `type:"double"` // The location of the training data to import and an AWS Identity and Access // Management (IAM) role that Amazon Forecast can assume to access the data. // // If encryption is used, DataSource includes an AWS Key Management Service // (KMS) key. DataSource *DataSource `type:"structure"` // The Amazon Resource Name (ARN) of the dataset that the training data was // imported to. DatasetArn *string `type:"string"` // The ARN of the dataset import job. DatasetImportJobArn *string `type:"string"` // The name of the dataset import job. DatasetImportJobName *string `min:"1" type:"string"` // Statistical information about each field in the input data. FieldStatistics map[string]Statistics `type:"map"` // The last time that the dataset was modified. The time depends on the status // of the job, as follows: // // * CREATE_PENDING - The same time as CreationTime. // // * CREATE_IN_PROGRESS - The current timestamp. // // * ACTIVE or CREATE_FAILED - When the job finished or failed. LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The status of the dataset import job. The status is reflected in the status // of the dataset. For example, when the import job status is CREATE_IN_PROGRESS, // the status of the dataset is UPDATE_IN_PROGRESS. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED Status *string `type:"string"` // The format of timestamps in the dataset. The format that you specify depends // on the DataFrequency specified when the dataset was created. The following // formats are supported // // * "yyyy-MM-dd" For the following data frequencies: Y, M, W, and D // // * "yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min, // 15min, and 1min; and optionally, for: Y, M, W, and D TimestampFormat *string `type:"string"` // contains filtered or unexported fields }
func (DescribeDatasetImportJobOutput) String ¶
func (s DescribeDatasetImportJobOutput) String() string
String returns the string representation
type DescribeDatasetImportJobRequest ¶
type DescribeDatasetImportJobRequest struct { *aws.Request Input *DescribeDatasetImportJobInput Copy func(*DescribeDatasetImportJobInput) DescribeDatasetImportJobRequest }
DescribeDatasetImportJobRequest is the request type for the DescribeDatasetImportJob API operation.
func (DescribeDatasetImportJobRequest) Send ¶
func (r DescribeDatasetImportJobRequest) Send(ctx context.Context) (*DescribeDatasetImportJobResponse, error)
Send marshals and sends the DescribeDatasetImportJob API request.
type DescribeDatasetImportJobResponse ¶
type DescribeDatasetImportJobResponse struct { *DescribeDatasetImportJobOutput // contains filtered or unexported fields }
DescribeDatasetImportJobResponse is the response type for the DescribeDatasetImportJob API operation.
func (*DescribeDatasetImportJobResponse) SDKResponseMetdata ¶
func (r *DescribeDatasetImportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribeDatasetImportJob request.
type DescribeDatasetInput ¶
type DescribeDatasetInput struct { // The Amazon Resource Name (ARN) of the dataset. // // DatasetArn is a required field DatasetArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribeDatasetInput) String ¶
func (s DescribeDatasetInput) String() string
String returns the string representation
func (*DescribeDatasetInput) Validate ¶
func (s *DescribeDatasetInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribeDatasetOutput ¶
type DescribeDatasetOutput struct { // When the dataset was created. CreationTime *time.Time `type:"timestamp"` // The frequency of data collection. // // Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min // (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and // 1min (1 minute). For example, "M" indicates every month and "30min" indicates // every 30 minutes. DataFrequency *string `type:"string"` // The Amazon Resource Name (ARN) of the dataset. DatasetArn *string `type:"string"` // The name of the dataset. DatasetName *string `min:"1" type:"string"` // The dataset type. DatasetType DatasetType `type:"string" enum:"true"` // The domain associated with the dataset. Domain Domain `type:"string" enum:"true"` // The AWS Key Management Service (KMS) key and the AWS Identity and Access // Management (IAM) role that Amazon Forecast can assume to access the key. EncryptionConfig *EncryptionConfig `type:"structure"` // When you create a dataset, LastModificationTime is the same as CreationTime. // While data is being imported to the dataset, LastModificationTime is the // current time of the DescribeDataset call. After a CreateDatasetImportJob // operation has finished, LastModificationTime is when the import job completed // or failed. LastModificationTime *time.Time `type:"timestamp"` // An array of SchemaAttribute objects that specify the dataset fields. Each // SchemaAttribute specifies the name and data type of a field. Schema *Schema `type:"structure"` // The status of the dataset. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED // // The UPDATE states apply while data is imported to the dataset from a call // to the CreateDatasetImportJob operation and reflect the status of the dataset // import job. For example, when the import job status is CREATE_IN_PROGRESS, // the status of the dataset is UPDATE_IN_PROGRESS. // // The Status of the dataset must be ACTIVE before you can import training data. Status *string `type:"string"` // contains filtered or unexported fields }
func (DescribeDatasetOutput) String ¶
func (s DescribeDatasetOutput) String() string
String returns the string representation
type DescribeDatasetRequest ¶
type DescribeDatasetRequest struct { *aws.Request Input *DescribeDatasetInput Copy func(*DescribeDatasetInput) DescribeDatasetRequest }
DescribeDatasetRequest is the request type for the DescribeDataset API operation.
func (DescribeDatasetRequest) Send ¶
func (r DescribeDatasetRequest) Send(ctx context.Context) (*DescribeDatasetResponse, error)
Send marshals and sends the DescribeDataset API request.
type DescribeDatasetResponse ¶
type DescribeDatasetResponse struct { *DescribeDatasetOutput // contains filtered or unexported fields }
DescribeDatasetResponse is the response type for the DescribeDataset API operation.
func (*DescribeDatasetResponse) SDKResponseMetdata ¶
func (r *DescribeDatasetResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribeDataset request.
type DescribeForecastExportJobInput ¶
type DescribeForecastExportJobInput struct { // The Amazon Resource Name (ARN) of the forecast export job. // // ForecastExportJobArn is a required field ForecastExportJobArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribeForecastExportJobInput) String ¶
func (s DescribeForecastExportJobInput) String() string
String returns the string representation
func (*DescribeForecastExportJobInput) Validate ¶
func (s *DescribeForecastExportJobInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribeForecastExportJobOutput ¶
type DescribeForecastExportJobOutput struct { // When the forecast export job was created. CreationTime *time.Time `type:"timestamp"` // The path to the Amazon Simple Storage Service (Amazon S3) bucket where the // forecast is exported. Destination *DataDestination `type:"structure"` // The Amazon Resource Name (ARN) of the exported forecast. ForecastArn *string `type:"string"` // The ARN of the forecast export job. ForecastExportJobArn *string `type:"string"` // The name of the forecast export job. ForecastExportJobName *string `min:"1" type:"string"` // When the last successful export job finished. LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The status of the forecast export job. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // The Status of the forecast export job must be ACTIVE before you can access // the forecast in your S3 bucket. Status *string `type:"string"` // contains filtered or unexported fields }
func (DescribeForecastExportJobOutput) String ¶
func (s DescribeForecastExportJobOutput) String() string
String returns the string representation
type DescribeForecastExportJobRequest ¶
type DescribeForecastExportJobRequest struct { *aws.Request Input *DescribeForecastExportJobInput Copy func(*DescribeForecastExportJobInput) DescribeForecastExportJobRequest }
DescribeForecastExportJobRequest is the request type for the DescribeForecastExportJob API operation.
func (DescribeForecastExportJobRequest) Send ¶
func (r DescribeForecastExportJobRequest) Send(ctx context.Context) (*DescribeForecastExportJobResponse, error)
Send marshals and sends the DescribeForecastExportJob API request.
type DescribeForecastExportJobResponse ¶
type DescribeForecastExportJobResponse struct { *DescribeForecastExportJobOutput // contains filtered or unexported fields }
DescribeForecastExportJobResponse is the response type for the DescribeForecastExportJob API operation.
func (*DescribeForecastExportJobResponse) SDKResponseMetdata ¶
func (r *DescribeForecastExportJobResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribeForecastExportJob request.
type DescribeForecastInput ¶
type DescribeForecastInput struct { // The Amazon Resource Name (ARN) of the forecast. // // ForecastArn is a required field ForecastArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribeForecastInput) String ¶
func (s DescribeForecastInput) String() string
String returns the string representation
func (*DescribeForecastInput) Validate ¶
func (s *DescribeForecastInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribeForecastOutput ¶
type DescribeForecastOutput struct { // When the forecast creation task was created. CreationTime *time.Time `type:"timestamp"` // The ARN of the dataset group that provided the data used to train the predictor. DatasetGroupArn *string `type:"string"` // The forecast ARN as specified in the request. ForecastArn *string `type:"string"` // The name of the forecast. ForecastName *string `min:"1" type:"string"` // The quantiles at which probabilistic forecasts were generated. ForecastTypes []string `min:"1" type:"list"` // Initially, the same as CreationTime (status is CREATE_PENDING). Updated when // inference (creating the forecast) starts (status changed to CREATE_IN_PROGRESS), // and when inference is complete (status changed to ACTIVE) or fails (status // changed to CREATE_FAILED). LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The ARN of the predictor used to generate the forecast. PredictorArn *string `type:"string"` // The status of the forecast. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // The Status of the forecast must be ACTIVE before you can query or export // the forecast. Status *string `type:"string"` // contains filtered or unexported fields }
func (DescribeForecastOutput) String ¶
func (s DescribeForecastOutput) String() string
String returns the string representation
type DescribeForecastRequest ¶
type DescribeForecastRequest struct { *aws.Request Input *DescribeForecastInput Copy func(*DescribeForecastInput) DescribeForecastRequest }
DescribeForecastRequest is the request type for the DescribeForecast API operation.
func (DescribeForecastRequest) Send ¶
func (r DescribeForecastRequest) Send(ctx context.Context) (*DescribeForecastResponse, error)
Send marshals and sends the DescribeForecast API request.
type DescribeForecastResponse ¶
type DescribeForecastResponse struct { *DescribeForecastOutput // contains filtered or unexported fields }
DescribeForecastResponse is the response type for the DescribeForecast API operation.
func (*DescribeForecastResponse) SDKResponseMetdata ¶
func (r *DescribeForecastResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribeForecast request.
type DescribePredictorInput ¶
type DescribePredictorInput struct { // The Amazon Resource Name (ARN) of the predictor that you want information // about. // // PredictorArn is a required field PredictorArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (DescribePredictorInput) String ¶
func (s DescribePredictorInput) String() string
String returns the string representation
func (*DescribePredictorInput) Validate ¶
func (s *DescribePredictorInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type DescribePredictorOutput ¶
type DescribePredictorOutput struct { // The Amazon Resource Name (ARN) of the algorithm used for model training. AlgorithmArn *string `type:"string"` // When PerformAutoML is specified, the ARN of the chosen algorithm. AutoMLAlgorithmArns []string `type:"list"` // When the model training task was created. CreationTime *time.Time `type:"timestamp"` // An array of the ARNs of the dataset import jobs used to import training data // for the predictor. DatasetImportJobArns []string `type:"list"` // An AWS Key Management Service (KMS) key and the AWS Identity and Access Management // (IAM) role that Amazon Forecast can assume to access the key. EncryptionConfig *EncryptionConfig `type:"structure"` // Used to override the default evaluation parameters of the specified algorithm. // Amazon Forecast evaluates a predictor by splitting a dataset into training // data and testing data. The evaluation parameters define how to perform the // split and the number of iterations. EvaluationParameters *EvaluationParameters `type:"structure"` // The featurization configuration. FeaturizationConfig *FeaturizationConfig `type:"structure"` // The number of time-steps of the forecast. The forecast horizon is also called // the prediction length. ForecastHorizon *int64 `type:"integer"` // The hyperparameter override values for the algorithm. HPOConfig *HyperParameterTuningJobConfig `type:"structure"` // Describes the dataset group that contains the data to use to train the predictor. InputDataConfig *InputDataConfig `type:"structure"` // Initially, the same as CreationTime (when the status is CREATE_PENDING). // This value is updated when training starts (when the status changes to CREATE_IN_PROGRESS), // and when training has completed (when the status changes to ACTIVE) or fails // (when the status changes to CREATE_FAILED). LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // Whether the predictor is set to perform AutoML. PerformAutoML *bool `type:"boolean"` // Whether the predictor is set to perform hyperparameter optimization (HPO). PerformHPO *bool `type:"boolean"` // The ARN of the predictor. PredictorArn *string `min:"1" type:"string"` // Details on the the status and results of the backtests performed to evaluate // the accuracy of the predictor. You specify the number of backtests to perform // when you call the operation. PredictorExecutionDetails *PredictorExecutionDetails `type:"structure"` // The name of the predictor. PredictorName *string `min:"1" type:"string"` // The status of the predictor. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED // // The Status of the predictor must be ACTIVE before you can use the predictor // to create a forecast. Status *string `type:"string"` // The default training parameters or overrides selected during model training. // If using the AutoML algorithm or if HPO is turned on while using the DeepAR+ // algorithms, the optimized values for the chosen hyperparameters are returned. // For more information, see aws-forecast-choosing-recipes. TrainingParameters map[string]string `type:"map"` // contains filtered or unexported fields }
func (DescribePredictorOutput) String ¶
func (s DescribePredictorOutput) String() string
String returns the string representation
type DescribePredictorRequest ¶
type DescribePredictorRequest struct { *aws.Request Input *DescribePredictorInput Copy func(*DescribePredictorInput) DescribePredictorRequest }
DescribePredictorRequest is the request type for the DescribePredictor API operation.
func (DescribePredictorRequest) Send ¶
func (r DescribePredictorRequest) Send(ctx context.Context) (*DescribePredictorResponse, error)
Send marshals and sends the DescribePredictor API request.
type DescribePredictorResponse ¶
type DescribePredictorResponse struct { *DescribePredictorOutput // contains filtered or unexported fields }
DescribePredictorResponse is the response type for the DescribePredictor API operation.
func (*DescribePredictorResponse) SDKResponseMetdata ¶
func (r *DescribePredictorResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the DescribePredictor request.
type Domain ¶
type Domain string
const ( DomainRetail Domain = "RETAIL" DomainCustom Domain = "CUSTOM" DomainInventoryPlanning Domain = "INVENTORY_PLANNING" DomainEc2Capacity Domain = "EC2_CAPACITY" DomainWorkForce Domain = "WORK_FORCE" DomainWebTraffic Domain = "WEB_TRAFFIC" DomainMetrics Domain = "METRICS" )
Enum values for Domain
func (Domain) MarshalValue ¶
type EncryptionConfig ¶
type EncryptionConfig struct { // The Amazon Resource Name (ARN) of the KMS key. // // KMSKeyArn is a required field KMSKeyArn *string `type:"string" required:"true"` // The ARN of the IAM role that Amazon Forecast can assume to access the AWS // KMS key. // // Passing a role across AWS accounts is not allowed. If you pass a role that // isn't in your account, you get an InvalidInputException error. // // RoleArn is a required field RoleArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
An AWS Key Management Service (KMS) key and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.
func (EncryptionConfig) String ¶
func (s EncryptionConfig) String() string
String returns the string representation
func (*EncryptionConfig) Validate ¶
func (s *EncryptionConfig) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type EvaluationParameters ¶
type EvaluationParameters struct { // The point from the end of the dataset where you want to split the data for // model training and testing (evaluation). Specify the value as the number // of data points. The default is the value of the forecast horizon. BackTestWindowOffset // can be used to mimic a past virtual forecast start date. This value must // be greater than or equal to the forecast horizon and less than half of the // TARGET_TIME_SERIES dataset length. // // ForecastHorizon <= BackTestWindowOffset < 1/2 * TARGET_TIME_SERIES dataset // length BackTestWindowOffset *int64 `type:"integer"` // The number of times to split the input data. The default is 1. Valid values // are 1 through 5. NumberOfBacktestWindows *int64 `type:"integer"` // contains filtered or unexported fields }
Parameters that define how to split a dataset into training data and testing data, and the number of iterations to perform. These parameters are specified in the predefined algorithms but you can override them in the CreatePredictor request.
func (EvaluationParameters) String ¶
func (s EvaluationParameters) String() string
String returns the string representation
type EvaluationResult ¶
type EvaluationResult struct { // The Amazon Resource Name (ARN) of the algorithm that was evaluated. AlgorithmArn *string `type:"string"` // The array of test windows used for evaluating the algorithm. The NumberOfBacktestWindows // from the EvaluationParameters object determines the number of windows in // the array. TestWindows []WindowSummary `type:"list"` // contains filtered or unexported fields }
The results of evaluating an algorithm. Returned as part of the GetAccuracyMetrics response.
func (EvaluationResult) String ¶
func (s EvaluationResult) String() string
String returns the string representation
type EvaluationType ¶
type EvaluationType string
const ( EvaluationTypeSummary EvaluationType = "SUMMARY" EvaluationTypeComputed EvaluationType = "COMPUTED" )
Enum values for EvaluationType
func (EvaluationType) MarshalValue ¶
func (enum EvaluationType) MarshalValue() (string, error)
func (EvaluationType) MarshalValueBuf ¶
func (enum EvaluationType) MarshalValueBuf(b []byte) ([]byte, error)
type Featurization ¶
type Featurization struct { // The name of the schema attribute that specifies the data field to be featurized. // Amazon Forecast supports the target field of the TARGET_TIME_SERIES and the // RELATED_TIME_SERIES datasets. For example, for the RETAIL domain, the target // is demand, and for the CUSTOM domain, the target is target_value. For more // information, see howitworks-missing-values. // // AttributeName is a required field AttributeName *string `min:"1" type:"string" required:"true"` // An array of one FeaturizationMethod object that specifies the feature transformation // method. FeaturizationPipeline []FeaturizationMethod `min:"1" type:"list"` // contains filtered or unexported fields }
Provides featurization (transformation) information for a dataset field. This object is part of the FeaturizationConfig object.
For example:
{
"AttributeName": "demand",
FeaturizationPipeline [ {
"FeaturizationMethodName": "filling",
"FeaturizationMethodParameters": {"aggregation": "avg", "backfill": "nan"}
} ]
}
func (Featurization) String ¶
func (s Featurization) String() string
String returns the string representation
func (*Featurization) Validate ¶
func (s *Featurization) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type FeaturizationConfig ¶
type FeaturizationConfig struct { // An array of featurization (transformation) information for the fields of // a dataset. Featurizations []Featurization `min:"1" type:"list"` // An array of dimension (field) names that specify how to group the generated // forecast. // // For example, suppose that you are generating a forecast for item sales across // all of your stores, and your dataset contains a store_id field. If you want // the sales forecast for each item by store, you would specify store_id as // the dimension. // // All forecast dimensions specified in the TARGET_TIME_SERIES dataset don't // need to be specified in the CreatePredictor request. All forecast dimensions // specified in the RELATED_TIME_SERIES dataset must be specified in the CreatePredictor // request. ForecastDimensions []string `min:"1" type:"list"` // The frequency of predictions in a forecast. // // Valid intervals are Y (Year), M (Month), W (Week), D (Day), H (Hour), 30min // (30 minutes), 15min (15 minutes), 10min (10 minutes), 5min (5 minutes), and // 1min (1 minute). For example, "Y" indicates every year and "5min" indicates // every five minutes. // // The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset // frequency. // // When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal // to the RELATED_TIME_SERIES dataset frequency. // // ForecastFrequency is a required field ForecastFrequency *string `type:"string" required:"true"` // contains filtered or unexported fields }
In a CreatePredictor operation, the specified algorithm trains a model using the specified dataset group. You can optionally tell the operation to modify data fields prior to training a model. These modifications are referred to as featurization.
You define featurization using the FeaturizationConfig object. You specify an array of transformations, one for each field that you want to featurize. You then include the FeaturizationConfig object in your CreatePredictor request. Amazon Forecast applies the featurization to the TARGET_TIME_SERIES and RELATED_TIME_SERIES datasets before model training.
You can create multiple featurization configurations. For example, you might call the CreatePredictor operation twice by specifying different featurization configurations.
func (FeaturizationConfig) String ¶
func (s FeaturizationConfig) String() string
String returns the string representation
func (*FeaturizationConfig) Validate ¶
func (s *FeaturizationConfig) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type FeaturizationMethod ¶
type FeaturizationMethod struct { // The name of the method. The "filling" method is the only supported method. // // FeaturizationMethodName is a required field FeaturizationMethodName FeaturizationMethodName `type:"string" required:"true" enum:"true"` // The method parameters (key-value pairs), which are a map of override parameters. // Specify these parameters to override the default values. Related Time Series // attributes do not accept aggregation parameters. // // The following list shows the parameters and their valid values for the "filling" // featurization method for a Target Time Series dataset. Bold signifies the // default value. // // * aggregation: sum, avg, first, min, max // // * frontfill: none // // * middlefill: zero, nan (not a number), value, median, mean, min, max // // * backfill: zero, nan, value, median, mean, min, max // // The following list shows the parameters and their valid values for a Related // Time Series featurization method (there are no defaults): // // * middlefill: zero, value, median, mean, min, max // // * backfill: zero, value, median, mean, min, max // // * futurefill: zero, value, median, mean, min, max FeaturizationMethodParameters map[string]string `min:"1" type:"map"` // contains filtered or unexported fields }
Provides information about the method that featurizes (transforms) a dataset field. The method is part of the FeaturizationPipeline of the Featurization object.
The following is an example of how you specify a FeaturizationMethod object.
{
"FeaturizationMethodName": "filling",
"FeaturizationMethodParameters": {"aggregation": "sum", "middlefill": "zero", "backfill": "zero"}
}
func (FeaturizationMethod) String ¶
func (s FeaturizationMethod) String() string
String returns the string representation
func (*FeaturizationMethod) Validate ¶
func (s *FeaturizationMethod) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type FeaturizationMethodName ¶
type FeaturizationMethodName string
const (
FeaturizationMethodNameFilling FeaturizationMethodName = "filling"
)
Enum values for FeaturizationMethodName
func (FeaturizationMethodName) MarshalValue ¶
func (enum FeaturizationMethodName) MarshalValue() (string, error)
func (FeaturizationMethodName) MarshalValueBuf ¶
func (enum FeaturizationMethodName) MarshalValueBuf(b []byte) ([]byte, error)
type Filter ¶
type Filter struct { // The condition to apply. To include the objects that match the statement, // specify IS. To exclude matching objects, specify IS_NOT. // // Condition is a required field Condition FilterConditionString `type:"string" required:"true" enum:"true"` // The name of the parameter to filter on. // // Key is a required field Key *string `type:"string" required:"true"` // The value to match. // // Value is a required field Value *string `type:"string" required:"true"` // contains filtered or unexported fields }
Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.
type FilterConditionString ¶
type FilterConditionString string
const ( FilterConditionStringIs FilterConditionString = "IS" FilterConditionStringIsNot FilterConditionString = "IS_NOT" )
Enum values for FilterConditionString
func (FilterConditionString) MarshalValue ¶
func (enum FilterConditionString) MarshalValue() (string, error)
func (FilterConditionString) MarshalValueBuf ¶
func (enum FilterConditionString) MarshalValueBuf(b []byte) ([]byte, error)
type ForecastExportJobSummary ¶
type ForecastExportJobSummary struct { // When the forecast export job was created. CreationTime *time.Time `type:"timestamp"` // The path to the Amazon Simple Storage Service (Amazon S3) bucket where the // forecast is exported. Destination *DataDestination `type:"structure"` // The Amazon Resource Name (ARN) of the forecast export job. ForecastExportJobArn *string `type:"string"` // The name of the forecast export job. ForecastExportJobName *string `min:"1" type:"string"` // When the last successful export job finished. LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The status of the forecast export job. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // The Status of the forecast export job must be ACTIVE before you can access // the forecast in your S3 bucket. Status *string `type:"string"` // contains filtered or unexported fields }
Provides a summary of the forecast export job properties used in the ListForecastExportJobs operation. To get the complete set of properties, call the DescribeForecastExportJob operation, and provide the listed ForecastExportJobArn.
func (ForecastExportJobSummary) String ¶
func (s ForecastExportJobSummary) String() string
String returns the string representation
type ForecastSummary ¶
type ForecastSummary struct { // When the forecast creation task was created. CreationTime *time.Time `type:"timestamp"` // The Amazon Resource Name (ARN) of the dataset group that provided the data // used to train the predictor. DatasetGroupArn *string `type:"string"` // The ARN of the forecast. ForecastArn *string `type:"string"` // The name of the forecast. ForecastName *string `min:"1" type:"string"` // Initially, the same as CreationTime (status is CREATE_PENDING). Updated when // inference (creating the forecast) starts (status changed to CREATE_IN_PROGRESS), // and when inference is complete (status changed to ACTIVE) or fails (status // changed to CREATE_FAILED). LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The ARN of the predictor used to generate the forecast. PredictorArn *string `type:"string"` // The status of the forecast. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // The Status of the forecast must be ACTIVE before you can query or export // the forecast. Status *string `type:"string"` // contains filtered or unexported fields }
Provides a summary of the forecast properties used in the ListForecasts operation. To get the complete set of properties, call the DescribeForecast operation, and provide the ForecastArn that is listed in the summary.
func (ForecastSummary) String ¶
func (s ForecastSummary) String() string
String returns the string representation
type GetAccuracyMetricsInput ¶
type GetAccuracyMetricsInput struct { // The Amazon Resource Name (ARN) of the predictor to get metrics for. // // PredictorArn is a required field PredictorArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (GetAccuracyMetricsInput) String ¶
func (s GetAccuracyMetricsInput) String() string
String returns the string representation
func (*GetAccuracyMetricsInput) Validate ¶
func (s *GetAccuracyMetricsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type GetAccuracyMetricsOutput ¶
type GetAccuracyMetricsOutput struct { // An array of results from evaluating the predictor. PredictorEvaluationResults []EvaluationResult `type:"list"` // contains filtered or unexported fields }
func (GetAccuracyMetricsOutput) String ¶
func (s GetAccuracyMetricsOutput) String() string
String returns the string representation
type GetAccuracyMetricsRequest ¶
type GetAccuracyMetricsRequest struct { *aws.Request Input *GetAccuracyMetricsInput Copy func(*GetAccuracyMetricsInput) GetAccuracyMetricsRequest }
GetAccuracyMetricsRequest is the request type for the GetAccuracyMetrics API operation.
func (GetAccuracyMetricsRequest) Send ¶
func (r GetAccuracyMetricsRequest) Send(ctx context.Context) (*GetAccuracyMetricsResponse, error)
Send marshals and sends the GetAccuracyMetrics API request.
type GetAccuracyMetricsResponse ¶
type GetAccuracyMetricsResponse struct { *GetAccuracyMetricsOutput // contains filtered or unexported fields }
GetAccuracyMetricsResponse is the response type for the GetAccuracyMetrics API operation.
func (*GetAccuracyMetricsResponse) SDKResponseMetdata ¶
func (r *GetAccuracyMetricsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the GetAccuracyMetrics request.
type HyperParameterTuningJobConfig ¶
type HyperParameterTuningJobConfig struct { // Specifies the ranges of valid values for the hyperparameters. ParameterRanges *ParameterRanges `type:"structure"` // contains filtered or unexported fields }
Configuration information for a hyperparameter tuning job. You specify this object in the CreatePredictor request.
A hyperparameter is a parameter that governs the model training process. You set hyperparameters before training starts, unlike model parameters, which are determined during training. The values of the hyperparameters effect which values are chosen for the model parameters.
In a hyperparameter tuning job, Amazon Forecast chooses the set of hyperparameter values that optimize a specified metric. Forecast accomplishes this by running many training jobs over a range of hyperparameter values. The optimum set of values depends on the algorithm, the training data, and the specified metric objective.
func (HyperParameterTuningJobConfig) String ¶
func (s HyperParameterTuningJobConfig) String() string
String returns the string representation
func (*HyperParameterTuningJobConfig) Validate ¶
func (s *HyperParameterTuningJobConfig) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type InputDataConfig ¶
type InputDataConfig struct { // The Amazon Resource Name (ARN) of the dataset group. // // DatasetGroupArn is a required field DatasetGroupArn *string `type:"string" required:"true"` // An array of supplementary features. The only supported feature is a holiday // calendar. SupplementaryFeatures []SupplementaryFeature `min:"1" type:"list"` // contains filtered or unexported fields }
The data used to train a predictor. The data includes a dataset group and any supplementary features. You specify this object in the CreatePredictor request.
func (InputDataConfig) String ¶
func (s InputDataConfig) String() string
String returns the string representation
func (*InputDataConfig) Validate ¶
func (s *InputDataConfig) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type IntegerParameterRange ¶
type IntegerParameterRange struct { // The maximum tunable value of the hyperparameter. // // MaxValue is a required field MaxValue *int64 `type:"integer" required:"true"` // The minimum tunable value of the hyperparameter. // // MinValue is a required field MinValue *int64 `type:"integer" required:"true"` // The name of the hyperparameter to tune. // // Name is a required field Name *string `min:"1" type:"string" required:"true"` // The scale that hyperparameter tuning uses to search the hyperparameter range. // Valid values: // // Auto // // Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter. // // Linear // // Hyperparameter tuning searches the values in the hyperparameter range by // using a linear scale. // // Logarithmic // // Hyperparameter tuning searches the values in the hyperparameter range by // using a logarithmic scale. // // Logarithmic scaling works only for ranges that have values greater than 0. // // ReverseLogarithmic // // Not supported for IntegerParameterRange. // // Reverse logarithmic scaling works only for ranges that are entirely within // the range 0 <= x < 1.0. // // For information about choosing a hyperparameter scale, see Hyperparameter // Scaling (http://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type). // One of the following values: ScalingType ScalingType `type:"string" enum:"true"` // contains filtered or unexported fields }
Specifies an integer hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.
func (IntegerParameterRange) String ¶
func (s IntegerParameterRange) String() string
String returns the string representation
func (*IntegerParameterRange) Validate ¶
func (s *IntegerParameterRange) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListDatasetGroupsInput ¶
type ListDatasetGroupsInput struct { // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetGroupsInput) String ¶
func (s ListDatasetGroupsInput) String() string
String returns the string representation
func (*ListDatasetGroupsInput) Validate ¶
func (s *ListDatasetGroupsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListDatasetGroupsOutput ¶
type ListDatasetGroupsOutput struct { // An array of objects that summarize each dataset group's properties. DatasetGroups []DatasetGroupSummary `type:"list"` // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetGroupsOutput) String ¶
func (s ListDatasetGroupsOutput) String() string
String returns the string representation
type ListDatasetGroupsPaginator ¶
ListDatasetGroupsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListDatasetGroupsPaginator ¶
func NewListDatasetGroupsPaginator(req ListDatasetGroupsRequest) ListDatasetGroupsPaginator
NewListDatasetGroupsRequestPaginator returns a paginator for ListDatasetGroups. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListDatasetGroupsRequest(input) p := forecast.NewListDatasetGroupsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListDatasetGroupsPaginator) CurrentPage ¶
func (p *ListDatasetGroupsPaginator) CurrentPage() *ListDatasetGroupsOutput
type ListDatasetGroupsRequest ¶
type ListDatasetGroupsRequest struct { *aws.Request Input *ListDatasetGroupsInput Copy func(*ListDatasetGroupsInput) ListDatasetGroupsRequest }
ListDatasetGroupsRequest is the request type for the ListDatasetGroups API operation.
func (ListDatasetGroupsRequest) Send ¶
func (r ListDatasetGroupsRequest) Send(ctx context.Context) (*ListDatasetGroupsResponse, error)
Send marshals and sends the ListDatasetGroups API request.
type ListDatasetGroupsResponse ¶
type ListDatasetGroupsResponse struct { *ListDatasetGroupsOutput // contains filtered or unexported fields }
ListDatasetGroupsResponse is the response type for the ListDatasetGroups API operation.
func (*ListDatasetGroupsResponse) SDKResponseMetdata ¶
func (r *ListDatasetGroupsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListDatasetGroups request.
type ListDatasetImportJobsInput ¶
type ListDatasetImportJobsInput struct { // An array of filters. For each filter, you provide a condition and a match // statement. The condition is either IS or IS_NOT, which specifies whether // to include or exclude the datasets that match the statement from the list, // respectively. The match statement consists of a key and a value. // // Filter properties // // * Condition - The condition to apply. Valid values are IS and IS_NOT. // To include the datasets that match the statement, specify IS. To exclude // matching datasets, specify IS_NOT. // // * Key - The name of the parameter to filter on. Valid values are DatasetArn // and Status. // // * Value - The value to match. // // For example, to list all dataset import jobs whose status is ACTIVE, you // specify the following filter: // // "Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ] Filters []Filter `type:"list"` // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetImportJobsInput) String ¶
func (s ListDatasetImportJobsInput) String() string
String returns the string representation
func (*ListDatasetImportJobsInput) Validate ¶
func (s *ListDatasetImportJobsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListDatasetImportJobsOutput ¶
type ListDatasetImportJobsOutput struct { // An array of objects that summarize each dataset import job's properties. DatasetImportJobs []DatasetImportJobSummary `type:"list"` // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetImportJobsOutput) String ¶
func (s ListDatasetImportJobsOutput) String() string
String returns the string representation
type ListDatasetImportJobsPaginator ¶
ListDatasetImportJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListDatasetImportJobsPaginator ¶
func NewListDatasetImportJobsPaginator(req ListDatasetImportJobsRequest) ListDatasetImportJobsPaginator
NewListDatasetImportJobsRequestPaginator returns a paginator for ListDatasetImportJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListDatasetImportJobsRequest(input) p := forecast.NewListDatasetImportJobsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListDatasetImportJobsPaginator) CurrentPage ¶
func (p *ListDatasetImportJobsPaginator) CurrentPage() *ListDatasetImportJobsOutput
type ListDatasetImportJobsRequest ¶
type ListDatasetImportJobsRequest struct { *aws.Request Input *ListDatasetImportJobsInput Copy func(*ListDatasetImportJobsInput) ListDatasetImportJobsRequest }
ListDatasetImportJobsRequest is the request type for the ListDatasetImportJobs API operation.
func (ListDatasetImportJobsRequest) Send ¶
func (r ListDatasetImportJobsRequest) Send(ctx context.Context) (*ListDatasetImportJobsResponse, error)
Send marshals and sends the ListDatasetImportJobs API request.
type ListDatasetImportJobsResponse ¶
type ListDatasetImportJobsResponse struct { *ListDatasetImportJobsOutput // contains filtered or unexported fields }
ListDatasetImportJobsResponse is the response type for the ListDatasetImportJobs API operation.
func (*ListDatasetImportJobsResponse) SDKResponseMetdata ¶
func (r *ListDatasetImportJobsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListDatasetImportJobs request.
type ListDatasetsInput ¶
type ListDatasetsInput struct { // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetsInput) String ¶
func (s ListDatasetsInput) String() string
String returns the string representation
func (*ListDatasetsInput) Validate ¶
func (s *ListDatasetsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListDatasetsOutput ¶
type ListDatasetsOutput struct { // An array of objects that summarize each dataset's properties. Datasets []DatasetSummary `type:"list"` // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListDatasetsOutput) String ¶
func (s ListDatasetsOutput) String() string
String returns the string representation
type ListDatasetsPaginator ¶
ListDatasetsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListDatasetsPaginator ¶
func NewListDatasetsPaginator(req ListDatasetsRequest) ListDatasetsPaginator
NewListDatasetsRequestPaginator returns a paginator for ListDatasets. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListDatasetsRequest(input) p := forecast.NewListDatasetsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListDatasetsPaginator) CurrentPage ¶
func (p *ListDatasetsPaginator) CurrentPage() *ListDatasetsOutput
type ListDatasetsRequest ¶
type ListDatasetsRequest struct { *aws.Request Input *ListDatasetsInput Copy func(*ListDatasetsInput) ListDatasetsRequest }
ListDatasetsRequest is the request type for the ListDatasets API operation.
func (ListDatasetsRequest) Send ¶
func (r ListDatasetsRequest) Send(ctx context.Context) (*ListDatasetsResponse, error)
Send marshals and sends the ListDatasets API request.
type ListDatasetsResponse ¶
type ListDatasetsResponse struct { *ListDatasetsOutput // contains filtered or unexported fields }
ListDatasetsResponse is the response type for the ListDatasets API operation.
func (*ListDatasetsResponse) SDKResponseMetdata ¶
func (r *ListDatasetsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListDatasets request.
type ListForecastExportJobsInput ¶
type ListForecastExportJobsInput struct { // An array of filters. For each filter, you provide a condition and a match // statement. The condition is either IS or IS_NOT, which specifies whether // to include or exclude the forecast export jobs that match the statement from // the list, respectively. The match statement consists of a key and a value. // // Filter properties // // * Condition - The condition to apply. Valid values are IS and IS_NOT. // To include the forecast export jobs that match the statement, specify // IS. To exclude matching forecast export jobs, specify IS_NOT. // // * Key - The name of the parameter to filter on. Valid values are ForecastArn // and Status. // // * Value - The value to match. // // For example, to list all jobs that export a forecast named electricityforecast, // specify the following filter: // // "Filters": [ { "Condition": "IS", "Key": "ForecastArn", "Value": "arn:aws:forecast:us-west-2:<acct-id>:forecast/electricityforecast" // } ] Filters []Filter `type:"list"` // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListForecastExportJobsInput) String ¶
func (s ListForecastExportJobsInput) String() string
String returns the string representation
func (*ListForecastExportJobsInput) Validate ¶
func (s *ListForecastExportJobsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListForecastExportJobsOutput ¶
type ListForecastExportJobsOutput struct { // An array of objects that summarize each export job's properties. ForecastExportJobs []ForecastExportJobSummary `type:"list"` // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListForecastExportJobsOutput) String ¶
func (s ListForecastExportJobsOutput) String() string
String returns the string representation
type ListForecastExportJobsPaginator ¶
ListForecastExportJobsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListForecastExportJobsPaginator ¶
func NewListForecastExportJobsPaginator(req ListForecastExportJobsRequest) ListForecastExportJobsPaginator
NewListForecastExportJobsRequestPaginator returns a paginator for ListForecastExportJobs. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListForecastExportJobsRequest(input) p := forecast.NewListForecastExportJobsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListForecastExportJobsPaginator) CurrentPage ¶
func (p *ListForecastExportJobsPaginator) CurrentPage() *ListForecastExportJobsOutput
type ListForecastExportJobsRequest ¶
type ListForecastExportJobsRequest struct { *aws.Request Input *ListForecastExportJobsInput Copy func(*ListForecastExportJobsInput) ListForecastExportJobsRequest }
ListForecastExportJobsRequest is the request type for the ListForecastExportJobs API operation.
func (ListForecastExportJobsRequest) Send ¶
func (r ListForecastExportJobsRequest) Send(ctx context.Context) (*ListForecastExportJobsResponse, error)
Send marshals and sends the ListForecastExportJobs API request.
type ListForecastExportJobsResponse ¶
type ListForecastExportJobsResponse struct { *ListForecastExportJobsOutput // contains filtered or unexported fields }
ListForecastExportJobsResponse is the response type for the ListForecastExportJobs API operation.
func (*ListForecastExportJobsResponse) SDKResponseMetdata ¶
func (r *ListForecastExportJobsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListForecastExportJobs request.
type ListForecastsInput ¶
type ListForecastsInput struct { // An array of filters. For each filter, you provide a condition and a match // statement. The condition is either IS or IS_NOT, which specifies whether // to include or exclude the forecasts that match the statement from the list, // respectively. The match statement consists of a key and a value. // // Filter properties // // * Condition - The condition to apply. Valid values are IS and IS_NOT. // To include the forecasts that match the statement, specify IS. To exclude // matching forecasts, specify IS_NOT. // // * Key - The name of the parameter to filter on. Valid values are DatasetGroupArn, // PredictorArn, and Status. // // * Value - The value to match. // // For example, to list all forecasts whose status is not ACTIVE, you would // specify: // // "Filters": [ { "Condition": "IS_NOT", "Key": "Status", "Value": "ACTIVE" // } ] Filters []Filter `type:"list"` // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListForecastsInput) String ¶
func (s ListForecastsInput) String() string
String returns the string representation
func (*ListForecastsInput) Validate ¶
func (s *ListForecastsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListForecastsOutput ¶
type ListForecastsOutput struct { // An array of objects that summarize each forecast's properties. Forecasts []ForecastSummary `type:"list"` // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListForecastsOutput) String ¶
func (s ListForecastsOutput) String() string
String returns the string representation
type ListForecastsPaginator ¶
ListForecastsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListForecastsPaginator ¶
func NewListForecastsPaginator(req ListForecastsRequest) ListForecastsPaginator
NewListForecastsRequestPaginator returns a paginator for ListForecasts. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListForecastsRequest(input) p := forecast.NewListForecastsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListForecastsPaginator) CurrentPage ¶
func (p *ListForecastsPaginator) CurrentPage() *ListForecastsOutput
type ListForecastsRequest ¶
type ListForecastsRequest struct { *aws.Request Input *ListForecastsInput Copy func(*ListForecastsInput) ListForecastsRequest }
ListForecastsRequest is the request type for the ListForecasts API operation.
func (ListForecastsRequest) Send ¶
func (r ListForecastsRequest) Send(ctx context.Context) (*ListForecastsResponse, error)
Send marshals and sends the ListForecasts API request.
type ListForecastsResponse ¶
type ListForecastsResponse struct { *ListForecastsOutput // contains filtered or unexported fields }
ListForecastsResponse is the response type for the ListForecasts API operation.
func (*ListForecastsResponse) SDKResponseMetdata ¶
func (r *ListForecastsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListForecasts request.
type ListPredictorsInput ¶
type ListPredictorsInput struct { // An array of filters. For each filter, you provide a condition and a match // statement. The condition is either IS or IS_NOT, which specifies whether // to include or exclude the predictors that match the statement from the list, // respectively. The match statement consists of a key and a value. // // Filter properties // // * Condition - The condition to apply. Valid values are IS and IS_NOT. // To include the predictors that match the statement, specify IS. To exclude // matching predictors, specify IS_NOT. // // * Key - The name of the parameter to filter on. Valid values are DatasetGroupArn // and Status. // // * Value - The value to match. // // For example, to list all predictors whose status is ACTIVE, you would specify: // // "Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ] Filters []Filter `type:"list"` // The number of items to return in the response. MaxResults *int64 `min:"1" type:"integer"` // If the result of the previous request was truncated, the response includes // a NextToken. To retrieve the next set of results, use the token in the next // request. Tokens expire after 24 hours. NextToken *string `min:"1" type:"string"` // contains filtered or unexported fields }
func (ListPredictorsInput) String ¶
func (s ListPredictorsInput) String() string
String returns the string representation
func (*ListPredictorsInput) Validate ¶
func (s *ListPredictorsInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListPredictorsOutput ¶
type ListPredictorsOutput struct { // If the response is truncated, Amazon Forecast returns this token. To retrieve // the next set of results, use the token in the next request. NextToken *string `min:"1" type:"string"` // An array of objects that summarize each predictor's properties. Predictors []PredictorSummary `type:"list"` // contains filtered or unexported fields }
func (ListPredictorsOutput) String ¶
func (s ListPredictorsOutput) String() string
String returns the string representation
type ListPredictorsPaginator ¶
ListPredictorsPaginator is used to paginate the request. This can be done by calling Next and CurrentPage.
func NewListPredictorsPaginator ¶
func NewListPredictorsPaginator(req ListPredictorsRequest) ListPredictorsPaginator
NewListPredictorsRequestPaginator returns a paginator for ListPredictors. Use Next method to get the next page, and CurrentPage to get the current response page from the paginator. Next will return false, if there are no more pages, or an error was encountered.
Note: This operation can generate multiple requests to a service.
// Example iterating over pages. req := client.ListPredictorsRequest(input) p := forecast.NewListPredictorsRequestPaginator(req) for p.Next(context.TODO()) { page := p.CurrentPage() } if err := p.Err(); err != nil { return err }
func (*ListPredictorsPaginator) CurrentPage ¶
func (p *ListPredictorsPaginator) CurrentPage() *ListPredictorsOutput
type ListPredictorsRequest ¶
type ListPredictorsRequest struct { *aws.Request Input *ListPredictorsInput Copy func(*ListPredictorsInput) ListPredictorsRequest }
ListPredictorsRequest is the request type for the ListPredictors API operation.
func (ListPredictorsRequest) Send ¶
func (r ListPredictorsRequest) Send(ctx context.Context) (*ListPredictorsResponse, error)
Send marshals and sends the ListPredictors API request.
type ListPredictorsResponse ¶
type ListPredictorsResponse struct { *ListPredictorsOutput // contains filtered or unexported fields }
ListPredictorsResponse is the response type for the ListPredictors API operation.
func (*ListPredictorsResponse) SDKResponseMetdata ¶
func (r *ListPredictorsResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListPredictors request.
type ListTagsForResourceInput ¶ added in v0.24.0
type ListTagsForResourceInput struct { // The Amazon Resource Name (ARN) that identifies the resource for which to // list the tags. Currently, the supported resources are Forecast dataset groups, // datasets, dataset import jobs, predictors, forecasts, and forecast export // jobs. // // ResourceArn is a required field ResourceArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (ListTagsForResourceInput) String ¶ added in v0.24.0
func (s ListTagsForResourceInput) String() string
String returns the string representation
func (*ListTagsForResourceInput) Validate ¶ added in v0.24.0
func (s *ListTagsForResourceInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type ListTagsForResourceOutput ¶ added in v0.24.0
type ListTagsForResourceOutput struct { // The tags for the resource. Tags []Tag `type:"list"` // contains filtered or unexported fields }
func (ListTagsForResourceOutput) String ¶ added in v0.24.0
func (s ListTagsForResourceOutput) String() string
String returns the string representation
type ListTagsForResourceRequest ¶ added in v0.24.0
type ListTagsForResourceRequest struct { *aws.Request Input *ListTagsForResourceInput Copy func(*ListTagsForResourceInput) ListTagsForResourceRequest }
ListTagsForResourceRequest is the request type for the ListTagsForResource API operation.
func (ListTagsForResourceRequest) Send ¶ added in v0.24.0
func (r ListTagsForResourceRequest) Send(ctx context.Context) (*ListTagsForResourceResponse, error)
Send marshals and sends the ListTagsForResource API request.
type ListTagsForResourceResponse ¶ added in v0.24.0
type ListTagsForResourceResponse struct { *ListTagsForResourceOutput // contains filtered or unexported fields }
ListTagsForResourceResponse is the response type for the ListTagsForResource API operation.
func (*ListTagsForResourceResponse) SDKResponseMetdata ¶ added in v0.24.0
func (r *ListTagsForResourceResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the ListTagsForResource request.
type Metrics ¶
type Metrics struct { // The root mean square error (RMSE). RMSE *float64 `type:"double"` // An array of weighted quantile losses. Quantiles divide a probability distribution // into regions of equal probability. The distribution in this case is the loss // function. WeightedQuantileLosses []WeightedQuantileLoss `type:"list"` // contains filtered or unexported fields }
Provides metrics that are used to evaluate the performance of a predictor. This object is part of the WindowSummary object.
type ParameterRanges ¶
type ParameterRanges struct { // Specifies the tunable range for each categorical hyperparameter. CategoricalParameterRanges []CategoricalParameterRange `min:"1" type:"list"` // Specifies the tunable range for each continuous hyperparameter. ContinuousParameterRanges []ContinuousParameterRange `min:"1" type:"list"` // Specifies the tunable range for each integer hyperparameter. IntegerParameterRanges []IntegerParameterRange `min:"1" type:"list"` // contains filtered or unexported fields }
Specifies the categorical, continuous, and integer hyperparameters, and their ranges of tunable values. The range of tunable values determines which values that a hyperparameter tuning job can choose for the specified hyperparameter. This object is part of the HyperParameterTuningJobConfig object.
func (ParameterRanges) String ¶
func (s ParameterRanges) String() string
String returns the string representation
func (*ParameterRanges) Validate ¶
func (s *ParameterRanges) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type PredictorExecution ¶ added in v0.18.0
type PredictorExecution struct { // The ARN of the algorithm used to test the predictor. AlgorithmArn *string `type:"string"` // An array of test windows used to evaluate the algorithm. The NumberOfBacktestWindows // from the object determines the number of windows in the array. TestWindows []TestWindowSummary `type:"list"` // contains filtered or unexported fields }
The algorithm used to perform a backtest and the status of those tests.
func (PredictorExecution) String ¶ added in v0.18.0
func (s PredictorExecution) String() string
String returns the string representation
type PredictorExecutionDetails ¶ added in v0.18.0
type PredictorExecutionDetails struct { // An array of the backtests performed to evaluate the accuracy of the predictor // against a particular algorithm. The NumberOfBacktestWindows from the object // determines the number of windows in the array. PredictorExecutions []PredictorExecution `min:"1" type:"list"` // contains filtered or unexported fields }
Contains details on the backtests performed to evaluate the accuracy of the predictor. The tests are returned in descending order of accuracy, with the most accurate backtest appearing first. You specify the number of backtests to perform when you call the operation.
func (PredictorExecutionDetails) String ¶ added in v0.18.0
func (s PredictorExecutionDetails) String() string
String returns the string representation
type PredictorSummary ¶
type PredictorSummary struct { // When the model training task was created. CreationTime *time.Time `type:"timestamp"` // The Amazon Resource Name (ARN) of the dataset group that contains the data // used to train the predictor. DatasetGroupArn *string `type:"string"` // Initially, the same as CreationTime (status is CREATE_PENDING). Updated when // training starts (status changed to CREATE_IN_PROGRESS), and when training // is complete (status changed to ACTIVE) or fails (status changed to CREATE_FAILED). LastModificationTime *time.Time `type:"timestamp"` // If an error occurred, an informational message about the error. Message *string `type:"string"` // The ARN of the predictor. PredictorArn *string `type:"string"` // The name of the predictor. PredictorName *string `min:"1" type:"string"` // The status of the predictor. States include: // // * ACTIVE // // * CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED // // * DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED // // * UPDATE_PENDING, UPDATE_IN_PROGRESS, UPDATE_FAILED // // The Status of the predictor must be ACTIVE before you can use the predictor // to create a forecast. Status *string `type:"string"` // contains filtered or unexported fields }
Provides a summary of the predictor properties that are used in the ListPredictors operation. To get the complete set of properties, call the DescribePredictor operation, and provide the listed PredictorArn.
func (PredictorSummary) String ¶
func (s PredictorSummary) String() string
String returns the string representation
type S3Config ¶
type S3Config struct { // The Amazon Resource Name (ARN) of an AWS Key Management Service (KMS) key. KMSKeyArn *string `type:"string"` // The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) // in an Amazon S3 bucket. // // Path is a required field Path *string `type:"string" required:"true"` // The ARN of the AWS Identity and Access Management (IAM) role that Amazon // Forecast can assume to access the Amazon S3 bucket or files. If you provide // a value for the KMSKeyArn key, the role must allow access to the key. // // Passing a role across AWS accounts is not allowed. If you pass a role that // isn't in your account, you get an InvalidInputException error. // // RoleArn is a required field RoleArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
The path to the file(s) in an Amazon Simple Storage Service (Amazon S3) bucket, and an AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the file(s). Optionally, includes an AWS Key Management Service (KMS) key. This object is part of the DataSource object that is submitted in the CreateDatasetImportJob request, and part of the DataDestination object that is submitted in the CreateForecastExportJob request.
type ScalingType ¶
type ScalingType string
const ( ScalingTypeAuto ScalingType = "Auto" ScalingTypeLinear ScalingType = "Linear" ScalingTypeLogarithmic ScalingType = "Logarithmic" ScalingTypeReverseLogarithmic ScalingType = "ReverseLogarithmic" )
Enum values for ScalingType
func (ScalingType) MarshalValue ¶
func (enum ScalingType) MarshalValue() (string, error)
func (ScalingType) MarshalValueBuf ¶
func (enum ScalingType) MarshalValueBuf(b []byte) ([]byte, error)
type Schema ¶
type Schema struct { // An array of attributes specifying the name and type of each field in a dataset. Attributes []SchemaAttribute `min:"1" type:"list"` // contains filtered or unexported fields }
Defines the fields of a dataset. You specify this object in the CreateDataset request.
type SchemaAttribute ¶
type SchemaAttribute struct { // The name of the dataset field. AttributeName *string `min:"1" type:"string"` // The data type of the field. AttributeType AttributeType `type:"string" enum:"true"` // contains filtered or unexported fields }
An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.
func (SchemaAttribute) String ¶
func (s SchemaAttribute) String() string
String returns the string representation
func (*SchemaAttribute) Validate ¶
func (s *SchemaAttribute) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type Statistics ¶
type Statistics struct { // For a numeric field, the average value in the field. Avg *float64 `type:"double"` // The number of values in the field. Count *int64 `type:"integer"` // The number of distinct values in the field. CountDistinct *int64 `type:"integer"` // The number of NAN (not a number) values in the field. CountNan *int64 `type:"integer"` // The number of null values in the field. CountNull *int64 `type:"integer"` // For a numeric field, the maximum value in the field. Max *string `type:"string"` // For a numeric field, the minimum value in the field. Min *string `type:"string"` // For a numeric field, the standard deviation. Stddev *float64 `type:"double"` // contains filtered or unexported fields }
Provides statistics for each data field imported into to an Amazon Forecast dataset with the CreateDatasetImportJob operation.
func (Statistics) String ¶
func (s Statistics) String() string
String returns the string representation
type SupplementaryFeature ¶
type SupplementaryFeature struct { // The name of the feature. This must be "holiday". // // Name is a required field Name *string `min:"1" type:"string" required:"true"` // One of the following 2 letter country codes: // // * "AR" - ARGENTINA // // * "AT" - AUSTRIA // // * "AU" - AUSTRALIA // // * "BE" - BELGIUM // // * "BR" - BRAZIL // // * "CA" - CANADA // // * "CN" - CHINA // // * "CZ" - CZECH REPUBLIC // // * "DK" - DENMARK // // * "EC" - ECUADOR // // * "FI" - FINLAND // // * "FR" - FRANCE // // * "DE" - GERMANY // // * "HU" - HUNGARY // // * "IE" - IRELAND // // * "IN" - INDIA // // * "IT" - ITALY // // * "JP" - JAPAN // // * "KR" - KOREA // // * "LU" - LUXEMBOURG // // * "MX" - MEXICO // // * "NL" - NETHERLANDS // // * "NO" - NORWAY // // * "PL" - POLAND // // * "PT" - PORTUGAL // // * "RU" - RUSSIA // // * "ZA" - SOUTH AFRICA // // * "ES" - SPAIN // // * "SE" - SWEDEN // // * "CH" - SWITZERLAND // // * "US" - UNITED STATES // // * "UK" - UNITED KINGDOM // // Value is a required field Value *string `type:"string" required:"true"` // contains filtered or unexported fields }
Describes a supplementary feature of a dataset group. This object is part of the InputDataConfig object.
The only supported feature is a holiday calendar. If you use the calendar, all data in the datasets should belong to the same country as the calendar. For the holiday calendar data, see the Jollyday (http://jollyday.sourceforge.net/data.html) web site.
India and Korea's holidays are not included in the Jollyday library, but both are supported by Amazon Forecast. Their holidays are:
"IN" - INDIA
JANUARY 26 - REPUBLIC DAY
AUGUST 15 - INDEPENDENCE DAY
OCTOBER 2 GANDHI'S BIRTHDAY
"KR" - KOREA
JANUARY 1 - NEW YEAR
MARCH 1 - INDEPENDENCE MOVEMENT DAY
MAY 5 - CHILDREN'S DAY
JUNE 6 - MEMORIAL DAY
AUGUST 15 - LIBERATION DAY
OCTOBER 3 - NATIONAL FOUNDATION DAY
OCTOBER 9 - HANGEUL DAY
DECEMBER 25 - CHRISTMAS DAY
func (SupplementaryFeature) String ¶
func (s SupplementaryFeature) String() string
String returns the string representation
func (*SupplementaryFeature) Validate ¶
func (s *SupplementaryFeature) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type Tag ¶ added in v0.24.0
type Tag struct { // One part of a key-value pair that makes up a tag. A key is a general label // that acts like a category for more specific tag values. // // Key is a required field Key *string `min:"1" type:"string" required:"true"` // The optional part of a key-value pair that makes up a tag. A value acts as // a descriptor within a tag category (key). // // Value is a required field Value *string `type:"string" required:"true"` // contains filtered or unexported fields }
The optional metadata that you apply to a resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
type TagResourceInput ¶ added in v0.24.0
type TagResourceInput struct { // The Amazon Resource Name (ARN) that identifies the resource for which to // list the tags. Currently, the supported resources are Forecast dataset groups, // datasets, dataset import jobs, predictors, forecasts, and forecast export // jobs. // // ResourceArn is a required field ResourceArn *string `type:"string" required:"true"` // The tags to add to the resource. A tag is an array of key-value pairs. // // The following basic restrictions apply to tags: // // * Maximum number of tags per resource - 50. // // * For each resource, each tag key must be unique, and each tag key can // have only one value. // // * Maximum key length - 128 Unicode characters in UTF-8. // // * Maximum value length - 256 Unicode characters in UTF-8. // // * If your tagging schema is used across multiple services and resources, // remember that other services may have restrictions on allowed characters. // Generally allowed characters are: letters, numbers, and spaces representable // in UTF-8, and the following characters: + - = . _ : / @. // // * Tag keys and values are case sensitive. // // * Do not use aws:, AWS:, or any upper or lowercase combination of such // as a prefix for keys as it is reserved for AWS use. You cannot edit or // delete tag keys with this prefix. Values can have this prefix. If a tag // value has aws as its prefix but the key does not, then Forecast considers // it to be a user tag and will count against the limit of 50 tags. Tags // with only the key prefix of aws do not count against your tags per resource // limit. // // Tags is a required field Tags []Tag `type:"list" required:"true"` // contains filtered or unexported fields }
func (TagResourceInput) String ¶ added in v0.24.0
func (s TagResourceInput) String() string
String returns the string representation
func (*TagResourceInput) Validate ¶ added in v0.24.0
func (s *TagResourceInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type TagResourceOutput ¶ added in v0.24.0
type TagResourceOutput struct {
// contains filtered or unexported fields
}
func (TagResourceOutput) String ¶ added in v0.24.0
func (s TagResourceOutput) String() string
String returns the string representation
type TagResourceRequest ¶ added in v0.24.0
type TagResourceRequest struct { *aws.Request Input *TagResourceInput Copy func(*TagResourceInput) TagResourceRequest }
TagResourceRequest is the request type for the TagResource API operation.
func (TagResourceRequest) Send ¶ added in v0.24.0
func (r TagResourceRequest) Send(ctx context.Context) (*TagResourceResponse, error)
Send marshals and sends the TagResource API request.
type TagResourceResponse ¶ added in v0.24.0
type TagResourceResponse struct { *TagResourceOutput // contains filtered or unexported fields }
TagResourceResponse is the response type for the TagResource API operation.
func (*TagResourceResponse) SDKResponseMetdata ¶ added in v0.24.0
func (r *TagResourceResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the TagResource request.
type TestWindowSummary ¶ added in v0.18.0
type TestWindowSummary struct { // If the test failed, the reason why it failed. Message *string `type:"string"` // The status of the test. Possible status values are: // // * ACTIVE // // * CREATE_IN_PROGRESS // // * CREATE_FAILED Status *string `type:"string"` // The time at which the test ended. TestWindowEnd *time.Time `type:"timestamp"` // The time at which the test began. TestWindowStart *time.Time `type:"timestamp"` // contains filtered or unexported fields }
The status, start time, and end time of a backtest, as well as a failure reason if applicable.
func (TestWindowSummary) String ¶ added in v0.18.0
func (s TestWindowSummary) String() string
String returns the string representation
type UntagResourceInput ¶ added in v0.24.0
type UntagResourceInput struct { // The Amazon Resource Name (ARN) that identifies the resource for which to // list the tags. Currently, the supported resources are Forecast dataset groups, // datasets, dataset import jobs, predictors, forecasts, and forecast exports. // // ResourceArn is a required field ResourceArn *string `type:"string" required:"true"` // The keys of the tags to be removed. // // TagKeys is a required field TagKeys []string `type:"list" required:"true"` // contains filtered or unexported fields }
func (UntagResourceInput) String ¶ added in v0.24.0
func (s UntagResourceInput) String() string
String returns the string representation
func (*UntagResourceInput) Validate ¶ added in v0.24.0
func (s *UntagResourceInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type UntagResourceOutput ¶ added in v0.24.0
type UntagResourceOutput struct {
// contains filtered or unexported fields
}
func (UntagResourceOutput) String ¶ added in v0.24.0
func (s UntagResourceOutput) String() string
String returns the string representation
type UntagResourceRequest ¶ added in v0.24.0
type UntagResourceRequest struct { *aws.Request Input *UntagResourceInput Copy func(*UntagResourceInput) UntagResourceRequest }
UntagResourceRequest is the request type for the UntagResource API operation.
func (UntagResourceRequest) Send ¶ added in v0.24.0
func (r UntagResourceRequest) Send(ctx context.Context) (*UntagResourceResponse, error)
Send marshals and sends the UntagResource API request.
type UntagResourceResponse ¶ added in v0.24.0
type UntagResourceResponse struct { *UntagResourceOutput // contains filtered or unexported fields }
UntagResourceResponse is the response type for the UntagResource API operation.
func (*UntagResourceResponse) SDKResponseMetdata ¶ added in v0.24.0
func (r *UntagResourceResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the UntagResource request.
type UpdateDatasetGroupInput ¶
type UpdateDatasetGroupInput struct { // An array of the Amazon Resource Names (ARNs) of the datasets to add to the // dataset group. // // DatasetArns is a required field DatasetArns []string `type:"list" required:"true"` // The ARN of the dataset group. // // DatasetGroupArn is a required field DatasetGroupArn *string `type:"string" required:"true"` // contains filtered or unexported fields }
func (UpdateDatasetGroupInput) String ¶
func (s UpdateDatasetGroupInput) String() string
String returns the string representation
func (*UpdateDatasetGroupInput) Validate ¶
func (s *UpdateDatasetGroupInput) Validate() error
Validate inspects the fields of the type to determine if they are valid.
type UpdateDatasetGroupOutput ¶
type UpdateDatasetGroupOutput struct {
// contains filtered or unexported fields
}
func (UpdateDatasetGroupOutput) String ¶
func (s UpdateDatasetGroupOutput) String() string
String returns the string representation
type UpdateDatasetGroupRequest ¶
type UpdateDatasetGroupRequest struct { *aws.Request Input *UpdateDatasetGroupInput Copy func(*UpdateDatasetGroupInput) UpdateDatasetGroupRequest }
UpdateDatasetGroupRequest is the request type for the UpdateDatasetGroup API operation.
func (UpdateDatasetGroupRequest) Send ¶
func (r UpdateDatasetGroupRequest) Send(ctx context.Context) (*UpdateDatasetGroupResponse, error)
Send marshals and sends the UpdateDatasetGroup API request.
type UpdateDatasetGroupResponse ¶
type UpdateDatasetGroupResponse struct { *UpdateDatasetGroupOutput // contains filtered or unexported fields }
UpdateDatasetGroupResponse is the response type for the UpdateDatasetGroup API operation.
func (*UpdateDatasetGroupResponse) SDKResponseMetdata ¶
func (r *UpdateDatasetGroupResponse) SDKResponseMetdata() *aws.Response
SDKResponseMetdata returns the response metadata for the UpdateDatasetGroup request.
type WeightedQuantileLoss ¶
type WeightedQuantileLoss struct { // The difference between the predicted value and the actual value over the // quantile, weighted (normalized) by dividing by the sum over all quantiles. LossValue *float64 `type:"double"` // The quantile. Quantiles divide a probability distribution into regions of // equal probability. For example, if the distribution was divided into 5 regions // of equal probability, the quantiles would be 0.2, 0.4, 0.6, and 0.8. Quantile *float64 `type:"double"` // contains filtered or unexported fields }
The weighted loss value for a quantile. This object is part of the Metrics object.
func (WeightedQuantileLoss) String ¶
func (s WeightedQuantileLoss) String() string
String returns the string representation
type WindowSummary ¶
type WindowSummary struct { // The type of evaluation. // // * SUMMARY - The average metrics across all windows. // // * COMPUTED - The metrics for the specified window. EvaluationType EvaluationType `type:"string" enum:"true"` // The number of data points within the window. ItemCount *int64 `type:"integer"` // Provides metrics used to evaluate the performance of a predictor. Metrics *Metrics `type:"structure"` // The timestamp that defines the end of the window. TestWindowEnd *time.Time `type:"timestamp"` // The timestamp that defines the start of the window. TestWindowStart *time.Time `type:"timestamp"` // contains filtered or unexported fields }
The metrics for a time range within the evaluation portion of a dataset. This object is part of the EvaluationResult object.
The TestWindowStart and TestWindowEnd parameters are determined by the BackTestWindowOffset parameter of the EvaluationParameters object.
func (WindowSummary) String ¶
func (s WindowSummary) String() string
String returns the string representation
Source Files ¶
- api_client.go
- api_doc.go
- api_enums.go
- api_errors.go
- api_op_CreateDataset.go
- api_op_CreateDatasetGroup.go
- api_op_CreateDatasetImportJob.go
- api_op_CreateForecast.go
- api_op_CreateForecastExportJob.go
- api_op_CreatePredictor.go
- api_op_DeleteDataset.go
- api_op_DeleteDatasetGroup.go
- api_op_DeleteDatasetImportJob.go
- api_op_DeleteForecast.go
- api_op_DeleteForecastExportJob.go
- api_op_DeletePredictor.go
- api_op_DescribeDataset.go
- api_op_DescribeDatasetGroup.go
- api_op_DescribeDatasetImportJob.go
- api_op_DescribeForecast.go
- api_op_DescribeForecastExportJob.go
- api_op_DescribePredictor.go
- api_op_GetAccuracyMetrics.go
- api_op_ListDatasetGroups.go
- api_op_ListDatasetImportJobs.go
- api_op_ListDatasets.go
- api_op_ListForecastExportJobs.go
- api_op_ListForecasts.go
- api_op_ListPredictors.go
- api_op_ListTagsForResource.go
- api_op_TagResource.go
- api_op_UntagResource.go
- api_op_UpdateDatasetGroup.go
- api_types.go
Directories ¶
Path | Synopsis |
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Package forecastiface provides an interface to enable mocking the Amazon Forecast Service service client for testing your code.
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Package forecastiface provides an interface to enable mocking the Amazon Forecast Service service client for testing your code. |