mirror of
https://github.com/restic/restic.git
synced 2024-08-31 00:27:34 +02:00
1182 lines
37 KiB
Go
1182 lines
37 KiB
Go
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// Package prediction provides access to the Prediction API.
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//
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// See https://developers.google.com/prediction/docs/developer-guide
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//
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// Usage example:
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//
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// import "google.golang.org/api/prediction/v1.3"
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// ...
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// predictionService, err := prediction.New(oauthHttpClient)
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package prediction // import "google.golang.org/api/prediction/v1.3"
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import (
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"bytes"
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"encoding/json"
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"errors"
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"fmt"
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context "golang.org/x/net/context"
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ctxhttp "golang.org/x/net/context/ctxhttp"
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gensupport "google.golang.org/api/gensupport"
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googleapi "google.golang.org/api/googleapi"
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"io"
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"net/http"
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"net/url"
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"strconv"
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"strings"
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)
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// Always reference these packages, just in case the auto-generated code
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// below doesn't.
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var _ = bytes.NewBuffer
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var _ = strconv.Itoa
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var _ = fmt.Sprintf
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var _ = json.NewDecoder
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var _ = io.Copy
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var _ = url.Parse
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var _ = gensupport.MarshalJSON
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var _ = googleapi.Version
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var _ = errors.New
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var _ = strings.Replace
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var _ = context.Canceled
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var _ = ctxhttp.Do
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const apiId = "prediction:v1.3"
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const apiName = "prediction"
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const apiVersion = "v1.3"
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const basePath = "https://www.googleapis.com/prediction/v1.3/"
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// OAuth2 scopes used by this API.
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const (
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// Manage your data and permissions in Google Cloud Storage
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DevstorageFullControlScope = "https://www.googleapis.com/auth/devstorage.full_control"
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// View your data in Google Cloud Storage
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DevstorageReadOnlyScope = "https://www.googleapis.com/auth/devstorage.read_only"
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// Manage your data in Google Cloud Storage
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DevstorageReadWriteScope = "https://www.googleapis.com/auth/devstorage.read_write"
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// Manage your data in the Google Prediction API
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PredictionScope = "https://www.googleapis.com/auth/prediction"
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)
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func New(client *http.Client) (*Service, error) {
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if client == nil {
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return nil, errors.New("client is nil")
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}
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s := &Service{client: client, BasePath: basePath}
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s.Hostedmodels = NewHostedmodelsService(s)
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s.Training = NewTrainingService(s)
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return s, nil
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}
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type Service struct {
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client *http.Client
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BasePath string // API endpoint base URL
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UserAgent string // optional additional User-Agent fragment
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Hostedmodels *HostedmodelsService
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Training *TrainingService
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}
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func (s *Service) userAgent() string {
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if s.UserAgent == "" {
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return googleapi.UserAgent
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}
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return googleapi.UserAgent + " " + s.UserAgent
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}
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func NewHostedmodelsService(s *Service) *HostedmodelsService {
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rs := &HostedmodelsService{s: s}
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return rs
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}
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type HostedmodelsService struct {
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s *Service
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}
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func NewTrainingService(s *Service) *TrainingService {
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rs := &TrainingService{s: s}
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return rs
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}
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type TrainingService struct {
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s *Service
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}
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type Input struct {
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// Input: Input to the model for a prediction
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Input *InputInput `json:"input,omitempty"`
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// ForceSendFields is a list of field names (e.g. "Input") to
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// unconditionally include in API requests. By default, fields with
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// empty values are omitted from API requests. However, any non-pointer,
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// non-interface field appearing in ForceSendFields will be sent to the
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// server regardless of whether the field is empty or not. This may be
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// used to include empty fields in Patch requests.
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ForceSendFields []string `json:"-"`
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// NullFields is a list of field names (e.g. "Input") to include in API
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// requests with the JSON null value. By default, fields with empty
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// values are omitted from API requests. However, any field with an
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// empty value appearing in NullFields will be sent to the server as
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// null. It is an error if a field in this list has a non-empty value.
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// This may be used to include null fields in Patch requests.
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NullFields []string `json:"-"`
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}
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func (s *Input) MarshalJSON() ([]byte, error) {
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type noMethod Input
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raw := noMethod(*s)
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return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
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}
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// InputInput: Input to the model for a prediction
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type InputInput struct {
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// CsvInstance: A list of input features, these can be strings or
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// doubles.
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CsvInstance []interface{} `json:"csvInstance,omitempty"`
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// ForceSendFields is a list of field names (e.g. "CsvInstance") to
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// unconditionally include in API requests. By default, fields with
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// empty values are omitted from API requests. However, any non-pointer,
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// non-interface field appearing in ForceSendFields will be sent to the
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// server regardless of whether the field is empty or not. This may be
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// used to include empty fields in Patch requests.
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ForceSendFields []string `json:"-"`
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// NullFields is a list of field names (e.g. "CsvInstance") to include
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// in API requests with the JSON null value. By default, fields with
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// empty values are omitted from API requests. However, any field with
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// an empty value appearing in NullFields will be sent to the server as
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// null. It is an error if a field in this list has a non-empty value.
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// This may be used to include null fields in Patch requests.
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NullFields []string `json:"-"`
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}
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func (s *InputInput) MarshalJSON() ([]byte, error) {
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type noMethod InputInput
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raw := noMethod(*s)
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return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
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}
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type Output struct {
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// Id: The unique name for the predictive model.
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Id string `json:"id,omitempty"`
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// Kind: What kind of resource this is.
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Kind string `json:"kind,omitempty"`
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// OutputLabel: The most likely class [Categorical models only].
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OutputLabel string `json:"outputLabel,omitempty"`
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// OutputMulti: A list of classes with their estimated probabilities
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// [Categorical models only].
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OutputMulti []*OutputOutputMulti `json:"outputMulti,omitempty"`
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// OutputValue: The estimated regression value [Regression models only].
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OutputValue float64 `json:"outputValue,omitempty"`
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// SelfLink: A URL to re-request this resource.
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SelfLink string `json:"selfLink,omitempty"`
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// ServerResponse contains the HTTP response code and headers from the
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// server.
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googleapi.ServerResponse `json:"-"`
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// ForceSendFields is a list of field names (e.g. "Id") to
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// unconditionally include in API requests. By default, fields with
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// empty values are omitted from API requests. However, any non-pointer,
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||
|
// non-interface field appearing in ForceSendFields will be sent to the
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// server regardless of whether the field is empty or not. This may be
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// used to include empty fields in Patch requests.
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ForceSendFields []string `json:"-"`
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// NullFields is a list of field names (e.g. "Id") to include in API
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// requests with the JSON null value. By default, fields with empty
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// values are omitted from API requests. However, any field with an
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// empty value appearing in NullFields will be sent to the server as
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// null. It is an error if a field in this list has a non-empty value.
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// This may be used to include null fields in Patch requests.
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NullFields []string `json:"-"`
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}
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func (s *Output) MarshalJSON() ([]byte, error) {
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type noMethod Output
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raw := noMethod(*s)
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return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
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}
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func (s *Output) UnmarshalJSON(data []byte) error {
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type noMethod Output
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var s1 struct {
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OutputValue gensupport.JSONFloat64 `json:"outputValue"`
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*noMethod
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}
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s1.noMethod = (*noMethod)(s)
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if err := json.Unmarshal(data, &s1); err != nil {
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return err
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}
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s.OutputValue = float64(s1.OutputValue)
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return nil
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}
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type OutputOutputMulti struct {
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// Label: The class label.
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Label string `json:"label,omitempty"`
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// Score: The probability of the class.
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Score float64 `json:"score,omitempty"`
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||
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// ForceSendFields is a list of field names (e.g. "Label") to
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||
|
// 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
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||
|
// server regardless of whether the field is empty or not. This may be
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||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
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||
|
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// 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
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||
|
// values are omitted from API requests. However, any field with an
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// empty value appearing in NullFields will be sent to the server as
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||
|
// null. It is an error if a field in this list has a non-empty value.
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||
|
// This may be used to include null fields in Patch requests.
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NullFields []string `json:"-"`
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}
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func (s *OutputOutputMulti) MarshalJSON() ([]byte, error) {
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type noMethod OutputOutputMulti
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raw := noMethod(*s)
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return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
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}
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func (s *OutputOutputMulti) UnmarshalJSON(data []byte) error {
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type noMethod OutputOutputMulti
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var s1 struct {
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Score gensupport.JSONFloat64 `json:"score"`
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*noMethod
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}
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s1.noMethod = (*noMethod)(s)
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if err := json.Unmarshal(data, &s1); err != nil {
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return err
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}
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s.Score = float64(s1.Score)
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return nil
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}
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type Training struct {
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// Id: The unique name for the predictive model.
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Id string `json:"id,omitempty"`
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// Kind: What kind of resource this is.
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Kind string `json:"kind,omitempty"`
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// ModelInfo: Model metadata.
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ModelInfo *TrainingModelInfo `json:"modelInfo,omitempty"`
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// SelfLink: A URL to re-request this resource.
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SelfLink string `json:"selfLink,omitempty"`
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// TrainingStatus: The current status of the training job. This can be
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// one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
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TrainingStatus string `json:"trainingStatus,omitempty"`
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// Utility: A class weighting function, which allows the importance
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// weights for classes to be specified [Categorical models only].
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Utility []map[string]float64 `json:"utility,omitempty"`
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|
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// ServerResponse contains the HTTP response code and headers from the
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|
// server.
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||
|
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:"-"`
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||
|
}
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||
|
|
||
|
func (s *Training) MarshalJSON() ([]byte, error) {
|
||
|
type noMethod Training
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||
|
raw := noMethod(*s)
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||
|
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
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|
}
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|
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|
// TrainingModelInfo: Model metadata.
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type TrainingModelInfo struct {
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// ClassWeightedAccuracy: Estimated accuracy of model taking utility
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// weights into account [Categorical models only].
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|
ClassWeightedAccuracy float64 `json:"classWeightedAccuracy,omitempty"`
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|
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|
// ClassificationAccuracy: A number between 0.0 and 1.0, where 1.0 is
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|
// 100% accurate. This is an estimate, based on the amount and quality
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// of the training data, of the estimated prediction accuracy. You can
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|
// use this is a guide to decide whether the results are accurate enough
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|
// for your needs. This estimate will be more reliable if your real
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|
// input data is similar to your training data [Categorical models
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|
// only].
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|
ClassificationAccuracy float64 `json:"classificationAccuracy,omitempty"`
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|
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||
|
// ConfusionMatrix: An output confusion matrix. This shows an estimate
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|
// for how this model will do in predictions. This is first indexed by
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// the true class label. For each true class label, this provides a pair
|
||
|
// {predicted_label, count}, where count is the estimated number of
|
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|
// times the model will predict the predicted label given the true
|
||
|
// label. Will not output if more then 100 classes [Categorical models
|
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|
// only].
|
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|
ConfusionMatrix map[string]map[string]float64 `json:"confusionMatrix,omitempty"`
|
||
|
|
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|
// ConfusionMatrixRowTotals: A list of the confusion matrix row totals
|
||
|
ConfusionMatrixRowTotals map[string]float64 `json:"confusionMatrixRowTotals,omitempty"`
|
||
|
|
||
|
// MeanSquaredError: An estimated mean squared error. The can be used to
|
||
|
// measure the quality of the predicted model [Regression models only].
|
||
|
MeanSquaredError float64 `json:"meanSquaredError,omitempty"`
|
||
|
|
||
|
// ModelType: Type of predictive model (CLASSIFICATION or REGRESSION)
|
||
|
ModelType string `json:"modelType,omitempty"`
|
||
|
|
||
|
// NumberClasses: Number of classes in the trained model [Categorical
|
||
|
// models only].
|
||
|
NumberClasses int64 `json:"numberClasses,omitempty,string"`
|
||
|
|
||
|
// NumberInstances: Number of valid data instances used in the trained
|
||
|
// model.
|
||
|
NumberInstances int64 `json:"numberInstances,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 *TrainingModelInfo) MarshalJSON() ([]byte, error) {
|
||
|
type noMethod TrainingModelInfo
|
||
|
raw := noMethod(*s)
|
||
|
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
|
||
|
}
|
||
|
|
||
|
func (s *TrainingModelInfo) UnmarshalJSON(data []byte) error {
|
||
|
type noMethod TrainingModelInfo
|
||
|
var s1 struct {
|
||
|
ClassWeightedAccuracy gensupport.JSONFloat64 `json:"classWeightedAccuracy"`
|
||
|
ClassificationAccuracy gensupport.JSONFloat64 `json:"classificationAccuracy"`
|
||
|
MeanSquaredError gensupport.JSONFloat64 `json:"meanSquaredError"`
|
||
|
*noMethod
|
||
|
}
|
||
|
s1.noMethod = (*noMethod)(s)
|
||
|
if err := json.Unmarshal(data, &s1); err != nil {
|
||
|
return err
|
||
|
}
|
||
|
s.ClassWeightedAccuracy = float64(s1.ClassWeightedAccuracy)
|
||
|
s.ClassificationAccuracy = float64(s1.ClassificationAccuracy)
|
||
|
s.MeanSquaredError = float64(s1.MeanSquaredError)
|
||
|
return nil
|
||
|
}
|
||
|
|
||
|
type Update struct {
|
||
|
// ClassLabel: The true class label of this instance
|
||
|
ClassLabel string `json:"classLabel,omitempty"`
|
||
|
|
||
|
// CsvInstance: The input features for this instance
|
||
|
CsvInstance []interface{} `json:"csvInstance,omitempty"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "ClassLabel") 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. "ClassLabel") 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
|
||
|
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(hostedModelName string, input *Input) *HostedmodelsPredictCall {
|
||
|
c := &HostedmodelsPredictCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
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, "hostedmodels/{hostedModelName}/predict")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("POST", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"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": [
|
||
|
// "hostedModelName"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "hostedModelName": {
|
||
|
// "description": "The name of a hosted model",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "hostedmodels/{hostedModelName}/predict",
|
||
|
// "request": {
|
||
|
// "$ref": "Input"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Output"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.training.delete":
|
||
|
|
||
|
type TrainingDeleteCall struct {
|
||
|
s *Service
|
||
|
data string
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Delete: Delete a trained model
|
||
|
func (r *TrainingService) Delete(data string) *TrainingDeleteCall {
|
||
|
c := &TrainingDeleteCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
c.data = data
|
||
|
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 *TrainingDeleteCall) Fields(s ...googleapi.Field) *TrainingDeleteCall {
|
||
|
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 *TrainingDeleteCall) Context(ctx context.Context) *TrainingDeleteCall {
|
||
|
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 *TrainingDeleteCall) Header() http.Header {
|
||
|
if c.header_ == nil {
|
||
|
c.header_ = make(http.Header)
|
||
|
}
|
||
|
return c.header_
|
||
|
}
|
||
|
|
||
|
func (c *TrainingDeleteCall) 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, "training/{data}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("DELETE", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"data": c.data,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.training.delete" call.
|
||
|
func (c *TrainingDeleteCall) 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.training.delete",
|
||
|
// "parameterOrder": [
|
||
|
// "data"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "data": {
|
||
|
// "description": "mybucket/mydata resource in Google Storage",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "training/{data}",
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.training.get":
|
||
|
|
||
|
type TrainingGetCall struct {
|
||
|
s *Service
|
||
|
data string
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ifNoneMatch_ string
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Get: Check training status of your model
|
||
|
func (r *TrainingService) Get(data string) *TrainingGetCall {
|
||
|
c := &TrainingGetCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
c.data = data
|
||
|
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 *TrainingGetCall) Fields(s ...googleapi.Field) *TrainingGetCall {
|
||
|
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 *TrainingGetCall) IfNoneMatch(entityTag string) *TrainingGetCall {
|
||
|
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 *TrainingGetCall) Context(ctx context.Context) *TrainingGetCall {
|
||
|
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 *TrainingGetCall) Header() http.Header {
|
||
|
if c.header_ == nil {
|
||
|
c.header_ = make(http.Header)
|
||
|
}
|
||
|
return c.header_
|
||
|
}
|
||
|
|
||
|
func (c *TrainingGetCall) 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, "training/{data}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("GET", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"data": c.data,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.training.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 (c *TrainingGetCall) Do(opts ...googleapi.CallOption) (*Training, 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 := &Training{
|
||
|
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.training.get",
|
||
|
// "parameterOrder": [
|
||
|
// "data"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "data": {
|
||
|
// "description": "mybucket/mydata resource in Google Storage",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "training/{data}",
|
||
|
// "response": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.training.insert":
|
||
|
|
||
|
type TrainingInsertCall struct {
|
||
|
s *Service
|
||
|
training *Training
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Insert: Begin training your model
|
||
|
func (r *TrainingService) Insert(training *Training) *TrainingInsertCall {
|
||
|
c := &TrainingInsertCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
c.training = training
|
||
|
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 *TrainingInsertCall) Fields(s ...googleapi.Field) *TrainingInsertCall {
|
||
|
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 *TrainingInsertCall) Context(ctx context.Context) *TrainingInsertCall {
|
||
|
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 *TrainingInsertCall) Header() http.Header {
|
||
|
if c.header_ == nil {
|
||
|
c.header_ = make(http.Header)
|
||
|
}
|
||
|
return c.header_
|
||
|
}
|
||
|
|
||
|
func (c *TrainingInsertCall) 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.training)
|
||
|
if err != nil {
|
||
|
return nil, err
|
||
|
}
|
||
|
reqHeaders.Set("Content-Type", "application/json")
|
||
|
c.urlParams_.Set("alt", alt)
|
||
|
urls := googleapi.ResolveRelative(c.s.BasePath, "training")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("POST", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.training.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 (c *TrainingInsertCall) Do(opts ...googleapi.CallOption) (*Training, 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 := &Training{
|
||
|
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": "Begin training your model",
|
||
|
// "httpMethod": "POST",
|
||
|
// "id": "prediction.training.insert",
|
||
|
// "path": "training",
|
||
|
// "request": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "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.training.predict":
|
||
|
|
||
|
type TrainingPredictCall struct {
|
||
|
s *Service
|
||
|
data string
|
||
|
input *Input
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Predict: Submit data and request a prediction
|
||
|
func (r *TrainingService) Predict(data string, input *Input) *TrainingPredictCall {
|
||
|
c := &TrainingPredictCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
c.data = data
|
||
|
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 *TrainingPredictCall) Fields(s ...googleapi.Field) *TrainingPredictCall {
|
||
|
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 *TrainingPredictCall) Context(ctx context.Context) *TrainingPredictCall {
|
||
|
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 *TrainingPredictCall) Header() http.Header {
|
||
|
if c.header_ == nil {
|
||
|
c.header_ = make(http.Header)
|
||
|
}
|
||
|
return c.header_
|
||
|
}
|
||
|
|
||
|
func (c *TrainingPredictCall) 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, "training/{data}/predict")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("POST", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"data": c.data,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.training.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 *TrainingPredictCall) 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 data and request a prediction",
|
||
|
// "httpMethod": "POST",
|
||
|
// "id": "prediction.training.predict",
|
||
|
// "parameterOrder": [
|
||
|
// "data"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "data": {
|
||
|
// "description": "mybucket/mydata resource in Google Storage",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "training/{data}/predict",
|
||
|
// "request": {
|
||
|
// "$ref": "Input"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Output"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.training.update":
|
||
|
|
||
|
type TrainingUpdateCall struct {
|
||
|
s *Service
|
||
|
data string
|
||
|
update *Update
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Update: Add new data to a trained model
|
||
|
func (r *TrainingService) Update(data string, update *Update) *TrainingUpdateCall {
|
||
|
c := &TrainingUpdateCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
c.data = data
|
||
|
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 *TrainingUpdateCall) Fields(s ...googleapi.Field) *TrainingUpdateCall {
|
||
|
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 *TrainingUpdateCall) Context(ctx context.Context) *TrainingUpdateCall {
|
||
|
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 *TrainingUpdateCall) Header() http.Header {
|
||
|
if c.header_ == nil {
|
||
|
c.header_ = make(http.Header)
|
||
|
}
|
||
|
return c.header_
|
||
|
}
|
||
|
|
||
|
func (c *TrainingUpdateCall) 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, "training/{data}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("PUT", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"data": c.data,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.training.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 (c *TrainingUpdateCall) Do(opts ...googleapi.CallOption) (*Training, 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 := &Training{
|
||
|
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.training.update",
|
||
|
// "parameterOrder": [
|
||
|
// "data"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "data": {
|
||
|
// "description": "mybucket/mydata resource in Google Storage",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "training/{data}",
|
||
|
// "request": {
|
||
|
// "$ref": "Update"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|