prediction

package
v2.3.1+incompatible Latest Latest
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 Go to latest Published: Feb 23, 2016 License: BSD-3-Clause, Apache-2.0 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/v1.4"
...
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 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.

type HostedmodelsService 

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

func NewHostedmodelsService 

func NewHostedmodelsService(s *Service) *HostedmodelsService

func (*HostedmodelsService) Predict 

func (r *HostedmodelsService) Predict(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 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 float64 `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 float64 `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 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.

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() (*Training, error)

Do executes the "prediction.trainedmodels.get" call. Exactly one of *Training or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Training.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.

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() (*Training, error)

Do executes the "prediction.trainedmodels.insert" call. Exactly one of *Training or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Training.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.

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.

type TrainedmodelsService 

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

func NewTrainedmodelsService 

func NewTrainedmodelsService(s *Service) *TrainedmodelsService

func (*TrainedmodelsService) Delete 

func (r *TrainedmodelsService) Delete(id string) *TrainedmodelsDeleteCall

Delete: Delete a trained model.

func (*TrainedmodelsService) Get 

func (r *TrainedmodelsService) Get(id string) *TrainedmodelsGetCall

Get: Check training status of your model.

func (*TrainedmodelsService) Insert 

func (r *TrainedmodelsService) Insert(training *Training) *TrainedmodelsInsertCall

Insert: Begin training your model.

func (*TrainedmodelsService) Predict 

func (r *TrainedmodelsService) Predict(id string, input *Input) *TrainedmodelsPredictCall

Predict: Submit model id and request a prediction

func (*TrainedmodelsService) Update 

func (r *TrainedmodelsService) Update(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() (*Training, error)

Do executes the "prediction.trainedmodels.update" call. Exactly one of *Training or error will be non-nil. Any non-2xx status code is an error. Response headers are in either *Training.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.

type Training 

type Training struct {
	// DataAnalysis: Data Analysis.
	DataAnalysis *TrainingDataAnalysis `json:"dataAnalysis,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 *TrainingModelInfo `json:"modelInfo,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"`

	// 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"`

	// Utility: A class weighting function, which allows the importance
	// weights for class labels to be specified [Categorical models only].
	Utility []*TrainingUtility `json:"utility,omitempty"`

	// ServerResponse contains the HTTP response code and headers from the
	// server.
	googleapi.ServerResponse `json:"-"`

	// ForceSendFields is a list of field names (e.g. "DataAnalysis") 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 (*Training) MarshalJSON 

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

type TrainingDataAnalysis 

type TrainingDataAnalysis struct {
	Warnings []string `json:"warnings,omitempty"`

	// ForceSendFields is a list of field names (e.g. "Warnings") 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:"-"`
}

TrainingDataAnalysis: Data Analysis.

func (*TrainingDataAnalysis) MarshalJSON 

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

type TrainingModelInfo 

type TrainingModelInfo struct {
	// ClassWeightedAccuracy: Estimated accuracy of model taking utility
	// weights into account [Categorical models only].
	ClassWeightedAccuracy float64 `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 float64 `json:"classificationAccuracy,omitempty"`

	// 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 *TrainingModelInfoConfusionMatrix `json:"confusionMatrix,omitempty"`

	// ConfusionMatrixRowTotals: A list of the confusion matrix row totals
	ConfusionMatrixRowTotals *TrainingModelInfoConfusionMatrixRowTotals `json:"confusionMatrixRowTotals,omitempty"`

	// MeanSquaredError: An estimated mean squared error. The can be used to
	// measure the quality of the predicted model [Regression models only].
	MeanSquaredError float64 `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:"-"`
}

TrainingModelInfo: Model metadata.

func (*TrainingModelInfo) MarshalJSON 

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

type TrainingModelInfoConfusionMatrix 

type TrainingModelInfoConfusionMatrix struct {
}

TrainingModelInfoConfusionMatrix: 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 TrainingModelInfoConfusionMatrixRowTotals 

type TrainingModelInfoConfusionMatrixRowTotals struct {
}

TrainingModelInfoConfusionMatrixRowTotals: A list of the confusion matrix row totals

type TrainingUtility 

type TrainingUtility struct {
}

TrainingUtility: Class label (string).

type Update 

type Update struct {
	// CsvInstance: The input features for this instance
	CsvInstance []interface{} `json:"csvInstance,omitempty"`

	// Label: The class label of this instance
	Label string `json:"label,omitempty"`

	// Output: The generic output value - could be regression value 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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