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// 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)
package prediction // import "google.golang.org/api/prediction/v1.6"
import (
"bytes"
"encoding/json"
"errors"
"fmt"
context "golang.org/x/net/context"
ctxhttp "golang.org/x/net/context/ctxhttp"
gensupport "google.golang.org/api/gensupport"
googleapi "google.golang.org/api/googleapi"
"io"
"net/http"
"net/url"
"strconv"
"strings"
)
// Always reference these packages, just in case the auto-generated code
// below doesn't.
var _ = bytes.NewBuffer
var _ = strconv.Itoa
var _ = fmt.Sprintf
var _ = json.NewDecoder
var _ = io.Copy
var _ = url.Parse
var _ = gensupport.MarshalJSON
var _ = googleapi.Version
var _ = errors.New
var _ = strings.Replace
var _ = context.Canceled
var _ = ctxhttp.Do
const apiId = "prediction:v1.6"
const apiName = "prediction"
const apiVersion = "v1.6"
const basePath = "https://www.googleapis.com/prediction/v1.6/projects/"
// OAuth2 scopes used by this API.
const (
// View and manage your data across Google Cloud Platform services
CloudPlatformScope = "https://www.googleapis.com/auth/cloud-platform"
// 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"
)
func New(client *http.Client) (*Service, error) {
if client == nil {
return nil, errors.New("client is nil")
}
s := &Service{client: client, BasePath: basePath}
s.Hostedmodels = NewHostedmodelsService(s)
s.Trainedmodels = NewTrainedmodelsService(s)
return s, nil
}
type Service struct {
client *http.Client
BasePath string // API endpoint base URL
UserAgent string // optional additional User-Agent fragment
Hostedmodels *HostedmodelsService
Trainedmodels *TrainedmodelsService
}
func (s *Service) userAgent() string {
if s.UserAgent == "" {
return googleapi.UserAgent
}
return googleapi.UserAgent + " " + s.UserAgent
}
func NewHostedmodelsService(s *Service) *HostedmodelsService {
rs := &HostedmodelsService{s: s}
return rs
}
type HostedmodelsService struct {
s *Service
}
func NewTrainedmodelsService(s *Service) *TrainedmodelsService {
rs := &TrainedmodelsService{s: s}
return rs
}
type TrainedmodelsService struct {
s *Service
}
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:"-"`
// NullFields is a list of field names (e.g. "DataDescription") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *Analyze) MarshalJSON() ([]byte, error) {
type noMethod Analyze
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescription: Description of the data the model was trained
// on.
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:"-"`
// NullFields is a list of field names (e.g. "Features") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescription) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescription
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Categorical") to include
// in API requests with the JSON null value. By default, fields with
// empty values are omitted from API requests. However, any field with
// an empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionFeatures) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionFeatures
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescriptionFeaturesCategorical: Description of the
// categorical values of this feature.
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionFeaturesCategorical) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionFeaturesCategorical
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionFeaturesCategoricalValues) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionFeaturesCategoricalValues
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescriptionFeaturesNumeric: Description of the numeric
// values of this feature.
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionFeaturesNumeric) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionFeaturesNumeric
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescriptionFeaturesText: Description of multiple-word text
// values of this feature.
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionFeaturesText) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionFeaturesText
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescriptionOutputFeature: Description of the output value
// or label.
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:"-"`
// NullFields is a list of field names (e.g. "Numeric") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionOutputFeature) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionOutputFeature
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeDataDescriptionOutputFeatureNumeric: Description of the output
// values in the data set.
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionOutputFeatureNumeric) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionOutputFeatureNumeric
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Count") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeDataDescriptionOutputFeatureText) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeDataDescriptionOutputFeatureText
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// AnalyzeModelDescription: Description of the model.
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 map[string]map[string]string `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:"-"`
// NullFields is a list of field names (e.g. "ConfusionMatrix") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *AnalyzeModelDescription) MarshalJSON() ([]byte, error) {
type noMethod AnalyzeModelDescription
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Input") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Input) MarshalJSON() ([]byte, error) {
type noMethod Input
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// InputInput: Input to the model for a prediction.
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:"-"`
// NullFields is a list of field names (e.g. "CsvInstance") to include
// in API requests with the JSON null value. By default, fields with
// empty values are omitted from API requests. However, any field with
// an empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *InputInput) MarshalJSON() ([]byte, error) {
type noMethod InputInput
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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 []map[string]float64 `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:"-"`
// NullFields is a list of field names (e.g. "Id") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Insert) MarshalJSON() ([]byte, error) {
type noMethod Insert
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "CsvInstance") to include
// in API requests with the JSON null value. By default, fields with
// empty values are omitted from API requests. However, any field with
// an empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *InsertTrainingInstances) MarshalJSON() ([]byte, error) {
type noMethod InsertTrainingInstances
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Created") to include in
// API requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Insert2) MarshalJSON() ([]byte, error) {
type noMethod Insert2
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// Insert2ModelInfo: Model metadata.
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:"-"`
// NullFields is a list of field names (e.g. "ClassWeightedAccuracy") to
// include in API requests with the JSON null value. By default, fields
// with empty values are omitted from API requests. However, any field
// with an empty value appearing in NullFields will be sent to the
// server as null. It is an error if a field in this list has a
// non-empty value. This may be used to include null fields in Patch
// requests.
NullFields []string `json:"-"`
}
func (s *Insert2ModelInfo) MarshalJSON() ([]byte, error) {
type noMethod Insert2ModelInfo
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Items") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *List) MarshalJSON() ([]byte, error) {
type noMethod List
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Id") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Output) MarshalJSON() ([]byte, error) {
type noMethod Output
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "Label") to include in API
// requests with the JSON null value. By default, fields with empty
// values are omitted from API requests. However, any field with an
// empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *OutputOutputMulti) MarshalJSON() ([]byte, error) {
type noMethod OutputOutputMulti
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
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:"-"`
// NullFields is a list of field names (e.g. "CsvInstance") to include
// in API requests with the JSON null value. By default, fields with
// empty values are omitted from API requests. However, any field with
// an empty value appearing in NullFields will be sent to the server as
// null. It is an error if a field in this list has a non-empty value.
// This may be used to include null fields in Patch requests.
NullFields []string `json:"-"`
}
func (s *Update) MarshalJSON() ([]byte, error) {
type noMethod Update
raw := noMethod(*s)
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
}
// method id "prediction.hostedmodels.predict":
type HostedmodelsPredictCall struct {
s *Service
project string
hostedModelName string
input *Input
urlParams_ gensupport.URLParams
ctx_ context.Context
header_ http.Header
}
// Predict: Submit input and request an output against a hosted model.
func (r *HostedmodelsService) Predict(project string, hostedModelName string, input *Input) *HostedmodelsPredictCall {
c := &HostedmodelsPredictCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.hostedModelName = hostedModelName
c.input = input
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *HostedmodelsPredictCall) Fields(s ...googleapi.Field) *HostedmodelsPredictCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *HostedmodelsPredictCall) Context(ctx context.Context) *HostedmodelsPredictCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *HostedmodelsPredictCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *HostedmodelsPredictCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
var body io.Reader = nil
body, err := googleapi.WithoutDataWrapper.JSONReader(c.input)
if err != nil {
return nil, err
}
reqHeaders.Set("Content-Type", "application/json")
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/hostedmodels/{hostedModelName}/predict")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("POST", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"hostedModelName": c.hostedModelName,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *HostedmodelsPredictCall) Do(opts ...googleapi.CallOption) (*Output, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Output{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Submit input and request an output against a hosted model.",
// "httpMethod": "POST",
// "id": "prediction.hostedmodels.predict",
// "parameterOrder": [
// "project",
// "hostedModelName"
// ],
// "parameters": {
// "hostedModelName": {
// "description": "The name of a hosted model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/hostedmodels/{hostedModelName}/predict",
// "request": {
// "$ref": "Input"
// },
// "response": {
// "$ref": "Output"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.analyze":
type TrainedmodelsAnalyzeCall struct {
s *Service
project string
id string
urlParams_ gensupport.URLParams
ifNoneMatch_ string
ctx_ context.Context
header_ http.Header
}
// Analyze: Get analysis of the model and the data the model was trained
// on.
func (r *TrainedmodelsService) Analyze(project string, id string) *TrainedmodelsAnalyzeCall {
c := &TrainedmodelsAnalyzeCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.id = id
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsAnalyzeCall) Fields(s ...googleapi.Field) *TrainedmodelsAnalyzeCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsAnalyzeCall) IfNoneMatch(entityTag string) *TrainedmodelsAnalyzeCall {
c.ifNoneMatch_ = entityTag
return c
}
// 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 (c *TrainedmodelsAnalyzeCall) Context(ctx context.Context) *TrainedmodelsAnalyzeCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsAnalyzeCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsAnalyzeCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
if c.ifNoneMatch_ != "" {
reqHeaders.Set("If-None-Match", c.ifNoneMatch_)
}
var body io.Reader = nil
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/{id}/analyze")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("GET", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"id": c.id,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsAnalyzeCall) Do(opts ...googleapi.CallOption) (*Analyze, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Analyze{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Get analysis of the model and the data the model was trained on.",
// "httpMethod": "GET",
// "id": "prediction.trainedmodels.analyze",
// "parameterOrder": [
// "project",
// "id"
// ],
// "parameters": {
// "id": {
// "description": "The unique name for the predictive model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/{id}/analyze",
// "response": {
// "$ref": "Analyze"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.delete":
type TrainedmodelsDeleteCall struct {
s *Service
project string
id string
urlParams_ gensupport.URLParams
ctx_ context.Context
header_ http.Header
}
// Delete: Delete a trained model.
func (r *TrainedmodelsService) Delete(project string, id string) *TrainedmodelsDeleteCall {
c := &TrainedmodelsDeleteCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.id = id
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsDeleteCall) Fields(s ...googleapi.Field) *TrainedmodelsDeleteCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsDeleteCall) Context(ctx context.Context) *TrainedmodelsDeleteCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsDeleteCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsDeleteCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
var body io.Reader = nil
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/{id}")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("DELETE", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"id": c.id,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// Do executes the "prediction.trainedmodels.delete" call.
func (c *TrainedmodelsDeleteCall) Do(opts ...googleapi.CallOption) error {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if err != nil {
return err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return err
}
return nil
// {
// "description": "Delete a trained model.",
// "httpMethod": "DELETE",
// "id": "prediction.trainedmodels.delete",
// "parameterOrder": [
// "project",
// "id"
// ],
// "parameters": {
// "id": {
// "description": "The unique name for the predictive model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/{id}",
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.get":
type TrainedmodelsGetCall struct {
s *Service
project string
id string
urlParams_ gensupport.URLParams
ifNoneMatch_ string
ctx_ context.Context
header_ http.Header
}
// Get: Check training status of your model.
func (r *TrainedmodelsService) Get(project string, id string) *TrainedmodelsGetCall {
c := &TrainedmodelsGetCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.id = id
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsGetCall) Fields(s ...googleapi.Field) *TrainedmodelsGetCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsGetCall) IfNoneMatch(entityTag string) *TrainedmodelsGetCall {
c.ifNoneMatch_ = entityTag
return c
}
// 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 (c *TrainedmodelsGetCall) Context(ctx context.Context) *TrainedmodelsGetCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsGetCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsGetCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
if c.ifNoneMatch_ != "" {
reqHeaders.Set("If-None-Match", c.ifNoneMatch_)
}
var body io.Reader = nil
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/{id}")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("GET", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"id": c.id,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsGetCall) Do(opts ...googleapi.CallOption) (*Insert2, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Insert2{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Check training status of your model.",
// "httpMethod": "GET",
// "id": "prediction.trainedmodels.get",
// "parameterOrder": [
// "project",
// "id"
// ],
// "parameters": {
// "id": {
// "description": "The unique name for the predictive model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/{id}",
// "response": {
// "$ref": "Insert2"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.insert":
type TrainedmodelsInsertCall struct {
s *Service
project string
insert *Insert
urlParams_ gensupport.URLParams
ctx_ context.Context
header_ http.Header
}
// Insert: Train a Prediction API model.
func (r *TrainedmodelsService) Insert(project string, insert *Insert) *TrainedmodelsInsertCall {
c := &TrainedmodelsInsertCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.insert = insert
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsInsertCall) Fields(s ...googleapi.Field) *TrainedmodelsInsertCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsInsertCall) Context(ctx context.Context) *TrainedmodelsInsertCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsInsertCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsInsertCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
var body io.Reader = nil
body, err := googleapi.WithoutDataWrapper.JSONReader(c.insert)
if err != nil {
return nil, err
}
reqHeaders.Set("Content-Type", "application/json")
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("POST", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsInsertCall) Do(opts ...googleapi.CallOption) (*Insert2, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Insert2{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Train a Prediction API model.",
// "httpMethod": "POST",
// "id": "prediction.trainedmodels.insert",
// "parameterOrder": [
// "project"
// ],
// "parameters": {
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels",
// "request": {
// "$ref": "Insert"
// },
// "response": {
// "$ref": "Insert2"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/devstorage.full_control",
// "https://www.googleapis.com/auth/devstorage.read_only",
// "https://www.googleapis.com/auth/devstorage.read_write",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.list":
type TrainedmodelsListCall struct {
s *Service
project string
urlParams_ gensupport.URLParams
ifNoneMatch_ string
ctx_ context.Context
header_ http.Header
}
// List: List available models.
func (r *TrainedmodelsService) List(project string) *TrainedmodelsListCall {
c := &TrainedmodelsListCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
return c
}
// MaxResults sets the optional parameter "maxResults": Maximum number
// of results to return.
func (c *TrainedmodelsListCall) MaxResults(maxResults int64) *TrainedmodelsListCall {
c.urlParams_.Set("maxResults", fmt.Sprint(maxResults))
return c
}
// PageToken sets the optional parameter "pageToken": Pagination token.
func (c *TrainedmodelsListCall) PageToken(pageToken string) *TrainedmodelsListCall {
c.urlParams_.Set("pageToken", pageToken)
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsListCall) Fields(s ...googleapi.Field) *TrainedmodelsListCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsListCall) IfNoneMatch(entityTag string) *TrainedmodelsListCall {
c.ifNoneMatch_ = entityTag
return c
}
// 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 (c *TrainedmodelsListCall) Context(ctx context.Context) *TrainedmodelsListCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsListCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsListCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
if c.ifNoneMatch_ != "" {
reqHeaders.Set("If-None-Match", c.ifNoneMatch_)
}
var body io.Reader = nil
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/list")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("GET", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsListCall) Do(opts ...googleapi.CallOption) (*List, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &List{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "List available models.",
// "httpMethod": "GET",
// "id": "prediction.trainedmodels.list",
// "parameterOrder": [
// "project"
// ],
// "parameters": {
// "maxResults": {
// "description": "Maximum number of results to return.",
// "format": "uint32",
// "location": "query",
// "minimum": "0",
// "type": "integer"
// },
// "pageToken": {
// "description": "Pagination token.",
// "location": "query",
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/list",
// "response": {
// "$ref": "List"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// Pages invokes f for each page of results.
// A non-nil error returned from f will halt the iteration.
// The provided context supersedes any context provided to the Context method.
func (c *TrainedmodelsListCall) Pages(ctx context.Context, f func(*List) error) error {
c.ctx_ = ctx
defer c.PageToken(c.urlParams_.Get("pageToken")) // reset paging to original point
for {
x, err := c.Do()
if err != nil {
return err
}
if err := f(x); err != nil {
return err
}
if x.NextPageToken == "" {
return nil
}
c.PageToken(x.NextPageToken)
}
}
// method id "prediction.trainedmodels.predict":
type TrainedmodelsPredictCall struct {
s *Service
project string
id string
input *Input
urlParams_ gensupport.URLParams
ctx_ context.Context
header_ http.Header
}
// Predict: Submit model id and request a prediction.
func (r *TrainedmodelsService) Predict(project string, id string, input *Input) *TrainedmodelsPredictCall {
c := &TrainedmodelsPredictCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.id = id
c.input = input
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsPredictCall) Fields(s ...googleapi.Field) *TrainedmodelsPredictCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsPredictCall) Context(ctx context.Context) *TrainedmodelsPredictCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsPredictCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsPredictCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
var body io.Reader = nil
body, err := googleapi.WithoutDataWrapper.JSONReader(c.input)
if err != nil {
return nil, err
}
reqHeaders.Set("Content-Type", "application/json")
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/{id}/predict")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("POST", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"id": c.id,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsPredictCall) Do(opts ...googleapi.CallOption) (*Output, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Output{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Submit model id and request a prediction.",
// "httpMethod": "POST",
// "id": "prediction.trainedmodels.predict",
// "parameterOrder": [
// "project",
// "id"
// ],
// "parameters": {
// "id": {
// "description": "The unique name for the predictive model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/{id}/predict",
// "request": {
// "$ref": "Input"
// },
// "response": {
// "$ref": "Output"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
// method id "prediction.trainedmodels.update":
type TrainedmodelsUpdateCall struct {
s *Service
project string
id string
update *Update
urlParams_ gensupport.URLParams
ctx_ context.Context
header_ http.Header
}
// Update: Add new data to a trained model.
func (r *TrainedmodelsService) Update(project string, id string, update *Update) *TrainedmodelsUpdateCall {
c := &TrainedmodelsUpdateCall{s: r.s, urlParams_: make(gensupport.URLParams)}
c.project = project
c.id = id
c.update = update
return c
}
// Fields allows partial responses to be retrieved. See
// https://developers.google.com/gdata/docs/2.0/basics#PartialResponse
// for more information.
func (c *TrainedmodelsUpdateCall) Fields(s ...googleapi.Field) *TrainedmodelsUpdateCall {
c.urlParams_.Set("fields", googleapi.CombineFields(s))
return c
}
// 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 (c *TrainedmodelsUpdateCall) Context(ctx context.Context) *TrainedmodelsUpdateCall {
c.ctx_ = ctx
return c
}
// Header returns an http.Header that can be modified by the caller to
// add HTTP headers to the request.
func (c *TrainedmodelsUpdateCall) Header() http.Header {
if c.header_ == nil {
c.header_ = make(http.Header)
}
return c.header_
}
func (c *TrainedmodelsUpdateCall) doRequest(alt string) (*http.Response, error) {
reqHeaders := make(http.Header)
for k, v := range c.header_ {
reqHeaders[k] = v
}
reqHeaders.Set("User-Agent", c.s.userAgent())
var body io.Reader = nil
body, err := googleapi.WithoutDataWrapper.JSONReader(c.update)
if err != nil {
return nil, err
}
reqHeaders.Set("Content-Type", "application/json")
c.urlParams_.Set("alt", alt)
urls := googleapi.ResolveRelative(c.s.BasePath, "{project}/trainedmodels/{id}")
urls += "?" + c.urlParams_.Encode()
req, _ := http.NewRequest("PUT", urls, body)
req.Header = reqHeaders
googleapi.Expand(req.URL, map[string]string{
"project": c.project,
"id": c.id,
})
return gensupport.SendRequest(c.ctx_, c.s.client, req)
}
// 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 (c *TrainedmodelsUpdateCall) Do(opts ...googleapi.CallOption) (*Insert2, error) {
gensupport.SetOptions(c.urlParams_, opts...)
res, err := c.doRequest("json")
if res != nil && res.StatusCode == http.StatusNotModified {
if res.Body != nil {
res.Body.Close()
}
return nil, &googleapi.Error{
Code: res.StatusCode,
Header: res.Header,
}
}
if err != nil {
return nil, err
}
defer googleapi.CloseBody(res)
if err := googleapi.CheckResponse(res); err != nil {
return nil, err
}
ret := &Insert2{
ServerResponse: googleapi.ServerResponse{
Header: res.Header,
HTTPStatusCode: res.StatusCode,
},
}
target := &ret
if err := json.NewDecoder(res.Body).Decode(target); err != nil {
return nil, err
}
return ret, nil
// {
// "description": "Add new data to a trained model.",
// "httpMethod": "PUT",
// "id": "prediction.trainedmodels.update",
// "parameterOrder": [
// "project",
// "id"
// ],
// "parameters": {
// "id": {
// "description": "The unique name for the predictive model.",
// "location": "path",
// "required": true,
// "type": "string"
// },
// "project": {
// "description": "The project associated with the model.",
// "location": "path",
// "required": true,
// "type": "string"
// }
// },
// "path": "{project}/trainedmodels/{id}",
// "request": {
// "$ref": "Update"
// },
// "response": {
// "$ref": "Insert2"
// },
// "scopes": [
// "https://www.googleapis.com/auth/cloud-platform",
// "https://www.googleapis.com/auth/prediction"
// ]
// }
}
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