Documentation ¶
Overview ¶
Package prediction provides access to the Prediction API.
See https://developers.google.com/prediction/docs/developer-guide
Usage example:
import "github.com/zippoxer/google-api-go-client/prediction/v1.6" ... predictionService, err := prediction.New(oauthHttpClient)
Index ¶
- Constants
- type Analyze
- type AnalyzeDataDescription
- type AnalyzeDataDescriptionFeatures
- type AnalyzeDataDescriptionFeaturesCategorical
- type AnalyzeDataDescriptionFeaturesCategoricalValues
- type AnalyzeDataDescriptionFeaturesNumeric
- type AnalyzeDataDescriptionFeaturesText
- type AnalyzeDataDescriptionOutputFeature
- type AnalyzeDataDescriptionOutputFeatureNumeric
- type AnalyzeDataDescriptionOutputFeatureText
- type AnalyzeModelDescription
- type AnalyzeModelDescriptionConfusionMatrix
- type HostedmodelsPredictCall
- func (c *HostedmodelsPredictCall) Context(ctx context.Context) *HostedmodelsPredictCall
- func (c *HostedmodelsPredictCall) Do() (*Output, error)
- func (c *HostedmodelsPredictCall) Fields(s ...googleapi.Field) *HostedmodelsPredictCall
- func (c *HostedmodelsPredictCall) QuotaUser(quotaUser string) *HostedmodelsPredictCall
- func (c *HostedmodelsPredictCall) UserIP(userIP string) *HostedmodelsPredictCall
- type HostedmodelsService
- type Input
- type InputInput
- type Insert
- type Insert2
- type Insert2ModelInfo
- type InsertTrainingInstances
- type InsertUtility
- type List
- type Output
- type OutputOutputMulti
- type Service
- type TrainedmodelsAnalyzeCall
- func (c *TrainedmodelsAnalyzeCall) Context(ctx context.Context) *TrainedmodelsAnalyzeCall
- func (c *TrainedmodelsAnalyzeCall) Do() (*Analyze, error)
- func (c *TrainedmodelsAnalyzeCall) Fields(s ...googleapi.Field) *TrainedmodelsAnalyzeCall
- func (c *TrainedmodelsAnalyzeCall) IfNoneMatch(entityTag string) *TrainedmodelsAnalyzeCall
- func (c *TrainedmodelsAnalyzeCall) QuotaUser(quotaUser string) *TrainedmodelsAnalyzeCall
- func (c *TrainedmodelsAnalyzeCall) UserIP(userIP string) *TrainedmodelsAnalyzeCall
- type TrainedmodelsDeleteCall
- func (c *TrainedmodelsDeleteCall) Context(ctx context.Context) *TrainedmodelsDeleteCall
- func (c *TrainedmodelsDeleteCall) Do() error
- func (c *TrainedmodelsDeleteCall) Fields(s ...googleapi.Field) *TrainedmodelsDeleteCall
- func (c *TrainedmodelsDeleteCall) QuotaUser(quotaUser string) *TrainedmodelsDeleteCall
- func (c *TrainedmodelsDeleteCall) UserIP(userIP string) *TrainedmodelsDeleteCall
- type TrainedmodelsGetCall
- func (c *TrainedmodelsGetCall) Context(ctx context.Context) *TrainedmodelsGetCall
- func (c *TrainedmodelsGetCall) Do() (*Insert2, error)
- func (c *TrainedmodelsGetCall) Fields(s ...googleapi.Field) *TrainedmodelsGetCall
- func (c *TrainedmodelsGetCall) IfNoneMatch(entityTag string) *TrainedmodelsGetCall
- func (c *TrainedmodelsGetCall) QuotaUser(quotaUser string) *TrainedmodelsGetCall
- func (c *TrainedmodelsGetCall) UserIP(userIP string) *TrainedmodelsGetCall
- type TrainedmodelsInsertCall
- func (c *TrainedmodelsInsertCall) Context(ctx context.Context) *TrainedmodelsInsertCall
- func (c *TrainedmodelsInsertCall) Do() (*Insert2, error)
- func (c *TrainedmodelsInsertCall) Fields(s ...googleapi.Field) *TrainedmodelsInsertCall
- func (c *TrainedmodelsInsertCall) QuotaUser(quotaUser string) *TrainedmodelsInsertCall
- func (c *TrainedmodelsInsertCall) UserIP(userIP string) *TrainedmodelsInsertCall
- type TrainedmodelsListCall
- func (c *TrainedmodelsListCall) Context(ctx context.Context) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) Do() (*List, error)
- func (c *TrainedmodelsListCall) Fields(s ...googleapi.Field) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) IfNoneMatch(entityTag string) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) MaxResults(maxResults int64) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) PageToken(pageToken string) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) QuotaUser(quotaUser string) *TrainedmodelsListCall
- func (c *TrainedmodelsListCall) UserIP(userIP string) *TrainedmodelsListCall
- type TrainedmodelsPredictCall
- func (c *TrainedmodelsPredictCall) Context(ctx context.Context) *TrainedmodelsPredictCall
- func (c *TrainedmodelsPredictCall) Do() (*Output, error)
- func (c *TrainedmodelsPredictCall) Fields(s ...googleapi.Field) *TrainedmodelsPredictCall
- func (c *TrainedmodelsPredictCall) QuotaUser(quotaUser string) *TrainedmodelsPredictCall
- func (c *TrainedmodelsPredictCall) UserIP(userIP string) *TrainedmodelsPredictCall
- type TrainedmodelsService
- func (r *TrainedmodelsService) Analyze(project string, id string) *TrainedmodelsAnalyzeCall
- func (r *TrainedmodelsService) Delete(project string, id string) *TrainedmodelsDeleteCall
- func (r *TrainedmodelsService) Get(project string, id string) *TrainedmodelsGetCall
- func (r *TrainedmodelsService) Insert(project string, insert *Insert) *TrainedmodelsInsertCall
- func (r *TrainedmodelsService) List(project string) *TrainedmodelsListCall
- func (r *TrainedmodelsService) Predict(project string, id string, input *Input) *TrainedmodelsPredictCall
- func (r *TrainedmodelsService) Update(project string, id string, update *Update) *TrainedmodelsUpdateCall
- type TrainedmodelsUpdateCall
- func (c *TrainedmodelsUpdateCall) Context(ctx context.Context) *TrainedmodelsUpdateCall
- func (c *TrainedmodelsUpdateCall) Do() (*Insert2, error)
- func (c *TrainedmodelsUpdateCall) Fields(s ...googleapi.Field) *TrainedmodelsUpdateCall
- func (c *TrainedmodelsUpdateCall) QuotaUser(quotaUser string) *TrainedmodelsUpdateCall
- func (c *TrainedmodelsUpdateCall) UserIP(userIP string) *TrainedmodelsUpdateCall
- type Update
Constants ¶
const ( // Manage your data and permissions in Google Cloud Storage DevstorageFullControlScope = "https://www.googleapis.com/auth/devstorage.full_control" // View your data in Google Cloud Storage DevstorageReadOnlyScope = "https://www.googleapis.com/auth/devstorage.read_only" // Manage your data in Google Cloud Storage DevstorageReadWriteScope = "https://www.googleapis.com/auth/devstorage.read_write" // Manage your data in the Google Prediction API PredictionScope = "https://www.googleapis.com/auth/prediction" )
OAuth2 scopes used by this API.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type Analyze ¶
type Analyze struct { // DataDescription: Description of the data the model was trained on. DataDescription *AnalyzeDataDescription `json:"dataDescription,omitempty"` // Errors: List of errors with the data. Errors []map[string]string `json:"errors,omitempty"` // Id: The unique name for the predictive model. Id string `json:"id,omitempty"` // Kind: What kind of resource this is. Kind string `json:"kind,omitempty"` // ModelDescription: Description of the model. ModelDescription *AnalyzeModelDescription `json:"modelDescription,omitempty"` // SelfLink: A URL to re-request this resource. SelfLink string `json:"selfLink,omitempty"` // ServerResponse contains the HTTP response code and headers from the // server. googleapi.ServerResponse `json:"-"` // ForceSendFields is a list of field names (e.g. "DataDescription") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*Analyze) MarshalJSON ¶
type AnalyzeDataDescription ¶
type AnalyzeDataDescription struct { // Features: Description of the input features in the data set. Features []*AnalyzeDataDescriptionFeatures `json:"features,omitempty"` // OutputFeature: Description of the output value or label. OutputFeature *AnalyzeDataDescriptionOutputFeature `json:"outputFeature,omitempty"` // ForceSendFields is a list of field names (e.g. "Features") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescription: Description of the data the model was trained on.
func (*AnalyzeDataDescription) MarshalJSON ¶
func (s *AnalyzeDataDescription) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionFeatures ¶
type AnalyzeDataDescriptionFeatures struct { // Categorical: Description of the categorical values of this feature. Categorical *AnalyzeDataDescriptionFeaturesCategorical `json:"categorical,omitempty"` // Index: The feature index. Index int64 `json:"index,omitempty,string"` // Numeric: Description of the numeric values of this feature. Numeric *AnalyzeDataDescriptionFeaturesNumeric `json:"numeric,omitempty"` // Text: Description of multiple-word text values of this feature. Text *AnalyzeDataDescriptionFeaturesText `json:"text,omitempty"` // ForceSendFields is a list of field names (e.g. "Categorical") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*AnalyzeDataDescriptionFeatures) MarshalJSON ¶
func (s *AnalyzeDataDescriptionFeatures) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionFeaturesCategorical ¶
type AnalyzeDataDescriptionFeaturesCategorical struct { // Count: Number of categorical values for this feature in the data. Count int64 `json:"count,omitempty,string"` // Values: List of all the categories for this feature in the data set. Values []*AnalyzeDataDescriptionFeaturesCategoricalValues `json:"values,omitempty"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescriptionFeaturesCategorical: Description of the categorical values of this feature.
func (*AnalyzeDataDescriptionFeaturesCategorical) MarshalJSON ¶
func (s *AnalyzeDataDescriptionFeaturesCategorical) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionFeaturesCategoricalValues ¶
type AnalyzeDataDescriptionFeaturesCategoricalValues struct { // Count: Number of times this feature had this value. Count int64 `json:"count,omitempty,string"` // Value: The category name. Value string `json:"value,omitempty"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*AnalyzeDataDescriptionFeaturesCategoricalValues) MarshalJSON ¶
func (s *AnalyzeDataDescriptionFeaturesCategoricalValues) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionFeaturesNumeric ¶
type AnalyzeDataDescriptionFeaturesNumeric struct { // Count: Number of numeric values for this feature in the data set. Count int64 `json:"count,omitempty,string"` // Mean: Mean of the numeric values of this feature in the data set. Mean string `json:"mean,omitempty"` // Variance: Variance of the numeric values of this feature in the data // set. Variance string `json:"variance,omitempty"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescriptionFeaturesNumeric: Description of the numeric values of this feature.
func (*AnalyzeDataDescriptionFeaturesNumeric) MarshalJSON ¶
func (s *AnalyzeDataDescriptionFeaturesNumeric) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionFeaturesText ¶
type AnalyzeDataDescriptionFeaturesText struct { // Count: Number of multiple-word text values for this feature. Count int64 `json:"count,omitempty,string"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescriptionFeaturesText: Description of multiple-word text values of this feature.
func (*AnalyzeDataDescriptionFeaturesText) MarshalJSON ¶
func (s *AnalyzeDataDescriptionFeaturesText) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionOutputFeature ¶
type AnalyzeDataDescriptionOutputFeature struct { // Numeric: Description of the output values in the data set. Numeric *AnalyzeDataDescriptionOutputFeatureNumeric `json:"numeric,omitempty"` // Text: Description of the output labels in the data set. Text []*AnalyzeDataDescriptionOutputFeatureText `json:"text,omitempty"` // ForceSendFields is a list of field names (e.g. "Numeric") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescriptionOutputFeature: Description of the output value or label.
func (*AnalyzeDataDescriptionOutputFeature) MarshalJSON ¶
func (s *AnalyzeDataDescriptionOutputFeature) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionOutputFeatureNumeric ¶
type AnalyzeDataDescriptionOutputFeatureNumeric struct { // Count: Number of numeric output values in the data set. Count int64 `json:"count,omitempty,string"` // Mean: Mean of the output values in the data set. Mean string `json:"mean,omitempty"` // Variance: Variance of the output values in the data set. Variance string `json:"variance,omitempty"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeDataDescriptionOutputFeatureNumeric: Description of the output values in the data set.
func (*AnalyzeDataDescriptionOutputFeatureNumeric) MarshalJSON ¶
func (s *AnalyzeDataDescriptionOutputFeatureNumeric) MarshalJSON() ([]byte, error)
type AnalyzeDataDescriptionOutputFeatureText ¶
type AnalyzeDataDescriptionOutputFeatureText struct { // Count: Number of times the output label occurred in the data set. Count int64 `json:"count,omitempty,string"` // Value: The output label. Value string `json:"value,omitempty"` // ForceSendFields is a list of field names (e.g. "Count") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*AnalyzeDataDescriptionOutputFeatureText) MarshalJSON ¶
func (s *AnalyzeDataDescriptionOutputFeatureText) MarshalJSON() ([]byte, error)
type AnalyzeModelDescription ¶
type AnalyzeModelDescription struct { // ConfusionMatrix: An output confusion matrix. This shows an estimate // for how this model will do in predictions. This is first indexed by // the true class label. For each true class label, this provides a pair // {predicted_label, count}, where count is the estimated number of // times the model will predict the predicted label given the true // label. Will not output if more then 100 classes (Categorical models // only). ConfusionMatrix *AnalyzeModelDescriptionConfusionMatrix `json:"confusionMatrix,omitempty"` // ConfusionMatrixRowTotals: A list of the confusion matrix row totals. ConfusionMatrixRowTotals map[string]string `json:"confusionMatrixRowTotals,omitempty"` // Modelinfo: Basic information about the model. Modelinfo *Insert2 `json:"modelinfo,omitempty"` // ForceSendFields is a list of field names (e.g. "ConfusionMatrix") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
AnalyzeModelDescription: Description of the model.
func (*AnalyzeModelDescription) MarshalJSON ¶
func (s *AnalyzeModelDescription) MarshalJSON() ([]byte, error)
type AnalyzeModelDescriptionConfusionMatrix ¶
type AnalyzeModelDescriptionConfusionMatrix struct { }
AnalyzeModelDescriptionConfusionMatrix: An output confusion matrix. This shows an estimate for how this model will do in predictions. This is first indexed by the true class label. For each true class label, this provides a pair {predicted_label, count}, where count is the estimated number of times the model will predict the predicted label given the true label. Will not output if more then 100 classes (Categorical models only).
type HostedmodelsPredictCall ¶
type HostedmodelsPredictCall struct {
// contains filtered or unexported fields
}
func (*HostedmodelsPredictCall) Context ¶
func (c *HostedmodelsPredictCall) Context(ctx context.Context) *HostedmodelsPredictCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*HostedmodelsPredictCall) Do ¶
func (c *HostedmodelsPredictCall) Do() (*Output, error)
Do executes the "prediction.hostedmodels.predict" call. Exactly one of *Output or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Output.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*HostedmodelsPredictCall) Fields ¶
func (c *HostedmodelsPredictCall) Fields(s ...googleapi.Field) *HostedmodelsPredictCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*HostedmodelsPredictCall) QuotaUser ¶
func (c *HostedmodelsPredictCall) QuotaUser(quotaUser string) *HostedmodelsPredictCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*HostedmodelsPredictCall) UserIP ¶
func (c *HostedmodelsPredictCall) UserIP(userIP string) *HostedmodelsPredictCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type HostedmodelsService ¶
type HostedmodelsService struct {
// contains filtered or unexported fields
}
func NewHostedmodelsService ¶
func NewHostedmodelsService(s *Service) *HostedmodelsService
func (*HostedmodelsService) Predict ¶
func (r *HostedmodelsService) Predict(project string, hostedModelName string, input *Input) *HostedmodelsPredictCall
Predict: Submit input and request an output against a hosted model.
type Input ¶
type Input struct { // Input: Input to the model for a prediction. Input *InputInput `json:"input,omitempty"` // ForceSendFields is a list of field names (e.g. "Input") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*Input) MarshalJSON ¶
type InputInput ¶
type InputInput struct { // CsvInstance: A list of input features, these can be strings or // doubles. CsvInstance []interface{} `json:"csvInstance,omitempty"` // ForceSendFields is a list of field names (e.g. "CsvInstance") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
InputInput: Input to the model for a prediction.
func (*InputInput) MarshalJSON ¶
func (s *InputInput) MarshalJSON() ([]byte, error)
type Insert ¶
type Insert struct { // Id: The unique name for the predictive model. Id string `json:"id,omitempty"` // ModelType: Type of predictive model (classification or regression). ModelType string `json:"modelType,omitempty"` // SourceModel: The Id of the model to be copied over. SourceModel string `json:"sourceModel,omitempty"` // StorageDataLocation: Google storage location of the training data // file. StorageDataLocation string `json:"storageDataLocation,omitempty"` // StoragePMMLLocation: Google storage location of the preprocessing // pmml file. StoragePMMLLocation string `json:"storagePMMLLocation,omitempty"` // StoragePMMLModelLocation: Google storage location of the pmml model // file. StoragePMMLModelLocation string `json:"storagePMMLModelLocation,omitempty"` // TrainingInstances: Instances to train model on. TrainingInstances []*InsertTrainingInstances `json:"trainingInstances,omitempty"` // Utility: A class weighting function, which allows the importance // weights for class labels to be specified (Categorical models only). Utility []*InsertUtility `json:"utility,omitempty"` // ForceSendFields is a list of field names (e.g. "Id") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*Insert) MarshalJSON ¶
type Insert2 ¶
type Insert2 struct { // Created: Insert time of the model (as a RFC 3339 timestamp). Created string `json:"created,omitempty"` // Id: The unique name for the predictive model. Id string `json:"id,omitempty"` // Kind: What kind of resource this is. Kind string `json:"kind,omitempty"` // ModelInfo: Model metadata. ModelInfo *Insert2ModelInfo `json:"modelInfo,omitempty"` // ModelType: Type of predictive model (CLASSIFICATION or REGRESSION). ModelType string `json:"modelType,omitempty"` // SelfLink: A URL to re-request this resource. SelfLink string `json:"selfLink,omitempty"` // StorageDataLocation: Google storage location of the training data // file. StorageDataLocation string `json:"storageDataLocation,omitempty"` // StoragePMMLLocation: Google storage location of the preprocessing // pmml file. StoragePMMLLocation string `json:"storagePMMLLocation,omitempty"` // StoragePMMLModelLocation: Google storage location of the pmml model // file. StoragePMMLModelLocation string `json:"storagePMMLModelLocation,omitempty"` // TrainingComplete: Training completion time (as a RFC 3339 timestamp). TrainingComplete string `json:"trainingComplete,omitempty"` // TrainingStatus: The current status of the training job. This can be // one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND TrainingStatus string `json:"trainingStatus,omitempty"` // ServerResponse contains the HTTP response code and headers from the // server. googleapi.ServerResponse `json:"-"` // ForceSendFields is a list of field names (e.g. "Created") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*Insert2) MarshalJSON ¶
type Insert2ModelInfo ¶
type Insert2ModelInfo struct { // ClassWeightedAccuracy: Estimated accuracy of model taking utility // weights into account (Categorical models only). ClassWeightedAccuracy string `json:"classWeightedAccuracy,omitempty"` // ClassificationAccuracy: A number between 0.0 and 1.0, where 1.0 is // 100% accurate. This is an estimate, based on the amount and quality // of the training data, of the estimated prediction accuracy. You can // use this is a guide to decide whether the results are accurate enough // for your needs. This estimate will be more reliable if your real // input data is similar to your training data (Categorical models // only). ClassificationAccuracy string `json:"classificationAccuracy,omitempty"` // MeanSquaredError: An estimated mean squared error. The can be used to // measure the quality of the predicted model (Regression models only). MeanSquaredError string `json:"meanSquaredError,omitempty"` // ModelType: Type of predictive model (CLASSIFICATION or REGRESSION). ModelType string `json:"modelType,omitempty"` // NumberInstances: Number of valid data instances used in the trained // model. NumberInstances int64 `json:"numberInstances,omitempty,string"` // NumberLabels: Number of class labels in the trained model // (Categorical models only). NumberLabels int64 `json:"numberLabels,omitempty,string"` // ForceSendFields is a list of field names (e.g. // "ClassWeightedAccuracy") to unconditionally include in API requests. // By default, fields with empty values are omitted from API requests. // However, any non-pointer, non-interface field appearing in // ForceSendFields will be sent to the server regardless of whether the // field is empty or not. This may be used to include empty fields in // Patch requests. ForceSendFields []string `json:"-"` }
Insert2ModelInfo: Model metadata.
func (*Insert2ModelInfo) MarshalJSON ¶
func (s *Insert2ModelInfo) MarshalJSON() ([]byte, error)
type InsertTrainingInstances ¶
type InsertTrainingInstances struct { // CsvInstance: The input features for this instance. CsvInstance []interface{} `json:"csvInstance,omitempty"` // Output: The generic output value - could be regression or class // label. Output string `json:"output,omitempty"` // ForceSendFields is a list of field names (e.g. "CsvInstance") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*InsertTrainingInstances) MarshalJSON ¶
func (s *InsertTrainingInstances) MarshalJSON() ([]byte, error)
type List ¶
type List struct { // Items: List of models. Items []*Insert2 `json:"items,omitempty"` // Kind: What kind of resource this is. Kind string `json:"kind,omitempty"` // NextPageToken: Pagination token to fetch the next page, if one // exists. NextPageToken string `json:"nextPageToken,omitempty"` // SelfLink: A URL to re-request this resource. SelfLink string `json:"selfLink,omitempty"` // ServerResponse contains the HTTP response code and headers from the // server. googleapi.ServerResponse `json:"-"` // ForceSendFields is a list of field names (e.g. "Items") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*List) MarshalJSON ¶
type Output ¶
type Output struct { // Id: The unique name for the predictive model. Id string `json:"id,omitempty"` // Kind: What kind of resource this is. Kind string `json:"kind,omitempty"` // OutputLabel: The most likely class label (Categorical models only). OutputLabel string `json:"outputLabel,omitempty"` // OutputMulti: A list of class labels with their estimated // probabilities (Categorical models only). OutputMulti []*OutputOutputMulti `json:"outputMulti,omitempty"` // OutputValue: The estimated regression value (Regression models only). OutputValue string `json:"outputValue,omitempty"` // SelfLink: A URL to re-request this resource. SelfLink string `json:"selfLink,omitempty"` // ServerResponse contains the HTTP response code and headers from the // server. googleapi.ServerResponse `json:"-"` // ForceSendFields is a list of field names (e.g. "Id") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*Output) MarshalJSON ¶
type OutputOutputMulti ¶
type OutputOutputMulti struct { // Label: The class label. Label string `json:"label,omitempty"` // Score: The probability of the class label. Score string `json:"score,omitempty"` // ForceSendFields is a list of field names (e.g. "Label") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }
func (*OutputOutputMulti) MarshalJSON ¶
func (s *OutputOutputMulti) MarshalJSON() ([]byte, error)
type Service ¶
type Service struct { BasePath string // API endpoint base URL UserAgent string // optional additional User-Agent fragment Hostedmodels *HostedmodelsService Trainedmodels *TrainedmodelsService // contains filtered or unexported fields }
type TrainedmodelsAnalyzeCall ¶
type TrainedmodelsAnalyzeCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsAnalyzeCall) Context ¶
func (c *TrainedmodelsAnalyzeCall) Context(ctx context.Context) *TrainedmodelsAnalyzeCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsAnalyzeCall) Do ¶
func (c *TrainedmodelsAnalyzeCall) Do() (*Analyze, error)
Do executes the "prediction.trainedmodels.analyze" call. Exactly one of *Analyze or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Analyze.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsAnalyzeCall) Fields ¶
func (c *TrainedmodelsAnalyzeCall) Fields(s ...googleapi.Field) *TrainedmodelsAnalyzeCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsAnalyzeCall) IfNoneMatch ¶
func (c *TrainedmodelsAnalyzeCall) IfNoneMatch(entityTag string) *TrainedmodelsAnalyzeCall
IfNoneMatch sets the optional parameter which makes the operation fail if the object's ETag matches the given value. This is useful for getting updates only after the object has changed since the last request. Use googleapi.IsNotModified to check whether the response error from Do is the result of In-None-Match.
func (*TrainedmodelsAnalyzeCall) QuotaUser ¶
func (c *TrainedmodelsAnalyzeCall) QuotaUser(quotaUser string) *TrainedmodelsAnalyzeCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsAnalyzeCall) UserIP ¶
func (c *TrainedmodelsAnalyzeCall) UserIP(userIP string) *TrainedmodelsAnalyzeCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsDeleteCall ¶
type TrainedmodelsDeleteCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsDeleteCall) Context ¶
func (c *TrainedmodelsDeleteCall) Context(ctx context.Context) *TrainedmodelsDeleteCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsDeleteCall) Do ¶
func (c *TrainedmodelsDeleteCall) Do() error
Do executes the "prediction.trainedmodels.delete" call.
func (*TrainedmodelsDeleteCall) Fields ¶
func (c *TrainedmodelsDeleteCall) Fields(s ...googleapi.Field) *TrainedmodelsDeleteCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsDeleteCall) QuotaUser ¶
func (c *TrainedmodelsDeleteCall) QuotaUser(quotaUser string) *TrainedmodelsDeleteCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsDeleteCall) UserIP ¶
func (c *TrainedmodelsDeleteCall) UserIP(userIP string) *TrainedmodelsDeleteCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsGetCall ¶
type TrainedmodelsGetCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsGetCall) Context ¶
func (c *TrainedmodelsGetCall) Context(ctx context.Context) *TrainedmodelsGetCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsGetCall) Do ¶
func (c *TrainedmodelsGetCall) Do() (*Insert2, error)
Do executes the "prediction.trainedmodels.get" call. Exactly one of *Insert2 or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Insert2.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsGetCall) Fields ¶
func (c *TrainedmodelsGetCall) Fields(s ...googleapi.Field) *TrainedmodelsGetCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsGetCall) IfNoneMatch ¶
func (c *TrainedmodelsGetCall) IfNoneMatch(entityTag string) *TrainedmodelsGetCall
IfNoneMatch sets the optional parameter which makes the operation fail if the object's ETag matches the given value. This is useful for getting updates only after the object has changed since the last request. Use googleapi.IsNotModified to check whether the response error from Do is the result of In-None-Match.
func (*TrainedmodelsGetCall) QuotaUser ¶
func (c *TrainedmodelsGetCall) QuotaUser(quotaUser string) *TrainedmodelsGetCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsGetCall) UserIP ¶
func (c *TrainedmodelsGetCall) UserIP(userIP string) *TrainedmodelsGetCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsInsertCall ¶
type TrainedmodelsInsertCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsInsertCall) Context ¶
func (c *TrainedmodelsInsertCall) Context(ctx context.Context) *TrainedmodelsInsertCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsInsertCall) Do ¶
func (c *TrainedmodelsInsertCall) Do() (*Insert2, error)
Do executes the "prediction.trainedmodels.insert" call. Exactly one of *Insert2 or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Insert2.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsInsertCall) Fields ¶
func (c *TrainedmodelsInsertCall) Fields(s ...googleapi.Field) *TrainedmodelsInsertCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsInsertCall) QuotaUser ¶
func (c *TrainedmodelsInsertCall) QuotaUser(quotaUser string) *TrainedmodelsInsertCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsInsertCall) UserIP ¶
func (c *TrainedmodelsInsertCall) UserIP(userIP string) *TrainedmodelsInsertCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsListCall ¶
type TrainedmodelsListCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsListCall) Context ¶
func (c *TrainedmodelsListCall) Context(ctx context.Context) *TrainedmodelsListCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsListCall) Do ¶
func (c *TrainedmodelsListCall) Do() (*List, error)
Do executes the "prediction.trainedmodels.list" call. Exactly one of *List or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *List.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsListCall) Fields ¶
func (c *TrainedmodelsListCall) Fields(s ...googleapi.Field) *TrainedmodelsListCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsListCall) IfNoneMatch ¶
func (c *TrainedmodelsListCall) IfNoneMatch(entityTag string) *TrainedmodelsListCall
IfNoneMatch sets the optional parameter which makes the operation fail if the object's ETag matches the given value. This is useful for getting updates only after the object has changed since the last request. Use googleapi.IsNotModified to check whether the response error from Do is the result of In-None-Match.
func (*TrainedmodelsListCall) MaxResults ¶
func (c *TrainedmodelsListCall) MaxResults(maxResults int64) *TrainedmodelsListCall
MaxResults sets the optional parameter "maxResults": Maximum number of results to return.
func (*TrainedmodelsListCall) PageToken ¶
func (c *TrainedmodelsListCall) PageToken(pageToken string) *TrainedmodelsListCall
PageToken sets the optional parameter "pageToken": Pagination token.
func (*TrainedmodelsListCall) QuotaUser ¶
func (c *TrainedmodelsListCall) QuotaUser(quotaUser string) *TrainedmodelsListCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsListCall) UserIP ¶
func (c *TrainedmodelsListCall) UserIP(userIP string) *TrainedmodelsListCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsPredictCall ¶
type TrainedmodelsPredictCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsPredictCall) Context ¶
func (c *TrainedmodelsPredictCall) Context(ctx context.Context) *TrainedmodelsPredictCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsPredictCall) Do ¶
func (c *TrainedmodelsPredictCall) Do() (*Output, error)
Do executes the "prediction.trainedmodels.predict" call. Exactly one of *Output or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Output.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsPredictCall) Fields ¶
func (c *TrainedmodelsPredictCall) Fields(s ...googleapi.Field) *TrainedmodelsPredictCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsPredictCall) QuotaUser ¶
func (c *TrainedmodelsPredictCall) QuotaUser(quotaUser string) *TrainedmodelsPredictCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsPredictCall) UserIP ¶
func (c *TrainedmodelsPredictCall) UserIP(userIP string) *TrainedmodelsPredictCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type TrainedmodelsService ¶
type TrainedmodelsService struct {
// contains filtered or unexported fields
}
func NewTrainedmodelsService ¶
func NewTrainedmodelsService(s *Service) *TrainedmodelsService
func (*TrainedmodelsService) Analyze ¶
func (r *TrainedmodelsService) Analyze(project string, id string) *TrainedmodelsAnalyzeCall
Analyze: Get analysis of the model and the data the model was trained on.
func (*TrainedmodelsService) Delete ¶
func (r *TrainedmodelsService) Delete(project string, id string) *TrainedmodelsDeleteCall
Delete: Delete a trained model.
func (*TrainedmodelsService) Get ¶
func (r *TrainedmodelsService) Get(project string, id string) *TrainedmodelsGetCall
Get: Check training status of your model.
func (*TrainedmodelsService) Insert ¶
func (r *TrainedmodelsService) Insert(project string, insert *Insert) *TrainedmodelsInsertCall
Insert: Train a Prediction API model.
func (*TrainedmodelsService) List ¶
func (r *TrainedmodelsService) List(project string) *TrainedmodelsListCall
List: List available models.
func (*TrainedmodelsService) Predict ¶
func (r *TrainedmodelsService) Predict(project string, id string, input *Input) *TrainedmodelsPredictCall
Predict: Submit model id and request a prediction.
func (*TrainedmodelsService) Update ¶
func (r *TrainedmodelsService) Update(project string, id string, update *Update) *TrainedmodelsUpdateCall
Update: Add new data to a trained model.
type TrainedmodelsUpdateCall ¶
type TrainedmodelsUpdateCall struct {
// contains filtered or unexported fields
}
func (*TrainedmodelsUpdateCall) Context ¶
func (c *TrainedmodelsUpdateCall) Context(ctx context.Context) *TrainedmodelsUpdateCall
Context sets the context to be used in this call's Do method. Any pending HTTP request will be aborted if the provided context is canceled.
func (*TrainedmodelsUpdateCall) Do ¶
func (c *TrainedmodelsUpdateCall) Do() (*Insert2, error)
Do executes the "prediction.trainedmodels.update" call. Exactly one of *Insert2 or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Insert2.ServerResponse.Header or (if a response was returned at all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified to check whether the returned error was because http.StatusNotModified was returned.
func (*TrainedmodelsUpdateCall) Fields ¶
func (c *TrainedmodelsUpdateCall) Fields(s ...googleapi.Field) *TrainedmodelsUpdateCall
Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.
func (*TrainedmodelsUpdateCall) QuotaUser ¶
func (c *TrainedmodelsUpdateCall) QuotaUser(quotaUser string) *TrainedmodelsUpdateCall
QuotaUser sets the optional parameter "quotaUser": Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters. Overrides userIp if both are provided.
func (*TrainedmodelsUpdateCall) UserIP ¶
func (c *TrainedmodelsUpdateCall) UserIP(userIP string) *TrainedmodelsUpdateCall
UserIP sets the optional parameter "userIp": IP address of the site where the request originates. Use this if you want to enforce per-user limits.
type Update ¶
type Update struct { // CsvInstance: The input features for this instance. CsvInstance []interface{} `json:"csvInstance,omitempty"` // Output: The generic output value - could be regression or class // label. Output string `json:"output,omitempty"` // ForceSendFields is a list of field names (e.g. "CsvInstance") to // unconditionally include in API requests. By default, fields with // empty values are omitted from API requests. However, any non-pointer, // non-interface field appearing in ForceSendFields will be sent to the // server regardless of whether the field is empty or not. This may be // used to include empty fields in Patch requests. ForceSendFields []string `json:"-"` }