prediction

package
v0.0.0-...-5d1b9c1 Latest Latest
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 Go to latest Published: Feb 18, 2019 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 "github.com/zippoxer/google-api-go-client/prediction/v1.5"
...
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 

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 float64 `json:"mean,omitempty"`

	// Variance: Variance of the numeric values of this feature in the data
	// set.
	Variance float64 `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 float64 `json:"mean,omitempty"`

	// Variance: Variance of the output values in the data set.
	Variance float64 `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 *AnalyzeModelDescriptionConfusionMatrixRowTotals `json:"confusionMatrixRowTotals,omitempty"`

	// Modelinfo: Basic information about the model.
	Modelinfo *Training `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 AnalyzeModelDescriptionConfusionMatrixRowTotals 

type AnalyzeModelDescriptionConfusionMatrixRowTotals struct {
}

AnalyzeModelDescriptionConfusionMatrixRowTotals: A list of the confusion matrix row totals

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(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 List 

type List struct {
	// Items: List of models.
	Items []*Training `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 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 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() (*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.

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() (*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.

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(id string) *TrainedmodelsAnalyzeCall

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

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) List 

func (r *TrainedmodelsService) List() *TrainedmodelsListCall

List: List available models.

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.

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 Training 

type Training 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 *TrainingModelInfo `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"`

	// TrainingInstances: Instances to train model on.
	TrainingInstances []*TrainingTrainingInstances `json:"trainingInstances,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. "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 (*Training) MarshalJSON 

func (s *Training) 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"`

	// 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 TrainingTrainingInstances 

type TrainingTrainingInstances 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 (*TrainingTrainingInstances) MarshalJSON 

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

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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