prediction

package
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Published: Oct 16, 2015 License: BSD-3-Clause Imports: 13 Imported by: 0

Documentation

Overview

Package prediction provides access to the Prediction API.

See https://developers.google.com/prediction/docs/developer-guide

Usage example:

import "google.golang.org/api/prediction/v1.6"
...
predictionService, err := prediction.New(oauthHttpClient)

Index

Constants

View Source
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

func (s *Analyze) MarshalJSON() ([]byte, error)

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

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

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

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

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

Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.

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

func (s *Input) MarshalJSON() ([]byte, error)

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

func (s *Insert) MarshalJSON() ([]byte, error)

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

func (s *Insert2) MarshalJSON() ([]byte, error)

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 InsertUtility

type InsertUtility struct {
}

InsertUtility: Class label (string).

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

func (s *List) MarshalJSON() ([]byte, error)

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

func (s *Output) MarshalJSON() ([]byte, error)

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
}

func New

func New(client *http.Client) (*Service, error)

type TrainedmodelsAnalyzeCall

type TrainedmodelsAnalyzeCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsAnalyzeCall) Context

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

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

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.

type TrainedmodelsDeleteCall

type TrainedmodelsDeleteCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsDeleteCall) Context

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

Do executes the "prediction.trainedmodels.delete" call.

func (*TrainedmodelsDeleteCall) Fields

Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.

type TrainedmodelsGetCall

type TrainedmodelsGetCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsGetCall) Context

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

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.

type TrainedmodelsInsertCall

type TrainedmodelsInsertCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsInsertCall) Context

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

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

Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.

type TrainedmodelsListCall

type TrainedmodelsListCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsListCall) Context

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

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.

type TrainedmodelsPredictCall

type TrainedmodelsPredictCall struct {
	// contains filtered or unexported fields
}

func (*TrainedmodelsPredictCall) Context

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

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

Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.

type TrainedmodelsService

type TrainedmodelsService struct {
	// contains filtered or unexported fields
}

func NewTrainedmodelsService

func NewTrainedmodelsService(s *Service) *TrainedmodelsService

func (*TrainedmodelsService) Analyze

Analyze: Get analysis of the model and the data the model was trained on.

func (*TrainedmodelsService) Delete

Delete: Delete a trained model.

func (*TrainedmodelsService) Get

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

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

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

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

Fields allows partial responses to be retrieved. See https://developers.google.com/gdata/docs/2.0/basics#PartialResponse for more information.

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:"-"`
}

func (*Update) MarshalJSON

func (s *Update) MarshalJSON() ([]byte, error)

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