mirror of
https://github.com/restic/restic.git
synced 2024-08-31 00:27:34 +02:00
1228 lines
39 KiB
Go
1228 lines
39 KiB
Go
|
// Package prediction provides access to the Prediction API.
|
||
|
//
|
||
|
// See https://developers.google.com/prediction/docs/developer-guide
|
||
|
//
|
||
|
// Usage example:
|
||
|
//
|
||
|
// import "google.golang.org/api/prediction/v1.4"
|
||
|
// ...
|
||
|
// predictionService, err := prediction.New(oauthHttpClient)
|
||
|
package prediction // import "google.golang.org/api/prediction/v1.4"
|
||
|
|
||
|
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:v1.4"
|
||
|
const apiName = "prediction"
|
||
|
const apiVersion = "v1.4"
|
||
|
const basePath = "https://www.googleapis.com/prediction/v1.4/"
|
||
|
|
||
|
// OAuth2 scopes used by this API.
|
||
|
const (
|
||
|
// Manage your data and permissions in Google Cloud Storage
|
||
|
DevstorageFullControlScope = "https://www.googleapis.com/auth/devstorage.full_control"
|
||
|
|
||
|
// View your data in Google Cloud Storage
|
||
|
DevstorageReadOnlyScope = "https://www.googleapis.com/auth/devstorage.read_only"
|
||
|
|
||
|
// Manage your data in Google Cloud Storage
|
||
|
DevstorageReadWriteScope = "https://www.googleapis.com/auth/devstorage.read_write"
|
||
|
|
||
|
// Manage your data in the Google Prediction API
|
||
|
PredictionScope = "https://www.googleapis.com/auth/prediction"
|
||
|
)
|
||
|
|
||
|
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 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 Output struct {
|
||
|
// Id: The unique name for the predictive model.
|
||
|
Id string `json:"id,omitempty"`
|
||
|
|
||
|
// Kind: What kind of resource this is.
|
||
|
Kind string `json:"kind,omitempty"`
|
||
|
|
||
|
// OutputLabel: The most likely class label [Categorical models only].
|
||
|
OutputLabel string `json:"outputLabel,omitempty"`
|
||
|
|
||
|
// OutputMulti: A list of class labels with their estimated
|
||
|
// probabilities [Categorical models only].
|
||
|
OutputMulti []*OutputOutputMulti `json:"outputMulti,omitempty"`
|
||
|
|
||
|
// OutputValue: The estimated regression value [Regression models only].
|
||
|
OutputValue float64 `json:"outputValue,omitempty"`
|
||
|
|
||
|
// SelfLink: A URL to re-request this resource.
|
||
|
SelfLink string `json:"selfLink,omitempty"`
|
||
|
|
||
|
// ServerResponse contains the HTTP response code and headers from the
|
||
|
// server.
|
||
|
googleapi.ServerResponse `json:"-"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "Id") to
|
||
|
// unconditionally include in API requests. By default, fields with
|
||
|
// empty values are omitted from API requests. However, any non-pointer,
|
||
|
// non-interface field appearing in ForceSendFields will be sent to the
|
||
|
// server regardless of whether the field is empty or not. This may be
|
||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
|
||
|
|
||
|
// 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)
|
||
|
}
|
||
|
|
||
|
func (s *Output) UnmarshalJSON(data []byte) error {
|
||
|
type noMethod Output
|
||
|
var s1 struct {
|
||
|
OutputValue gensupport.JSONFloat64 `json:"outputValue"`
|
||
|
*noMethod
|
||
|
}
|
||
|
s1.noMethod = (*noMethod)(s)
|
||
|
if err := json.Unmarshal(data, &s1); err != nil {
|
||
|
return err
|
||
|
}
|
||
|
s.OutputValue = float64(s1.OutputValue)
|
||
|
return nil
|
||
|
}
|
||
|
|
||
|
type OutputOutputMulti struct {
|
||
|
// Label: The class label.
|
||
|
Label string `json:"label,omitempty"`
|
||
|
|
||
|
// Score: The probability of the class label.
|
||
|
Score float64 `json:"score,omitempty"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "Label") to
|
||
|
// unconditionally include in API requests. By default, fields with
|
||
|
// empty values are omitted from API requests. However, any non-pointer,
|
||
|
// non-interface field appearing in ForceSendFields will be sent to the
|
||
|
// server regardless of whether the field is empty or not. This may be
|
||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
|
||
|
|
||
|
// 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)
|
||
|
}
|
||
|
|
||
|
func (s *OutputOutputMulti) UnmarshalJSON(data []byte) error {
|
||
|
type noMethod OutputOutputMulti
|
||
|
var s1 struct {
|
||
|
Score gensupport.JSONFloat64 `json:"score"`
|
||
|
*noMethod
|
||
|
}
|
||
|
s1.noMethod = (*noMethod)(s)
|
||
|
if err := json.Unmarshal(data, &s1); err != nil {
|
||
|
return err
|
||
|
}
|
||
|
s.Score = float64(s1.Score)
|
||
|
return nil
|
||
|
}
|
||
|
|
||
|
type Training struct {
|
||
|
// DataAnalysis: Data Analysis.
|
||
|
DataAnalysis *TrainingDataAnalysis `json:"dataAnalysis,omitempty"`
|
||
|
|
||
|
// Id: The unique name for the predictive model.
|
||
|
Id string `json:"id,omitempty"`
|
||
|
|
||
|
// Kind: What kind of resource this is.
|
||
|
Kind string `json:"kind,omitempty"`
|
||
|
|
||
|
// ModelInfo: Model metadata.
|
||
|
ModelInfo *TrainingModelInfo `json:"modelInfo,omitempty"`
|
||
|
|
||
|
// SelfLink: A URL to re-request this resource.
|
||
|
SelfLink string `json:"selfLink,omitempty"`
|
||
|
|
||
|
// StorageDataLocation: Google storage location of the training data
|
||
|
// file.
|
||
|
StorageDataLocation string `json:"storageDataLocation,omitempty"`
|
||
|
|
||
|
// StoragePMMLLocation: Google storage location of the preprocessing
|
||
|
// pmml file.
|
||
|
StoragePMMLLocation string `json:"storagePMMLLocation,omitempty"`
|
||
|
|
||
|
// StoragePMMLModelLocation: Google storage location of the pmml model
|
||
|
// file.
|
||
|
StoragePMMLModelLocation string `json:"storagePMMLModelLocation,omitempty"`
|
||
|
|
||
|
// TrainingStatus: The current status of the training job. This can be
|
||
|
// one of following: RUNNING; DONE; ERROR; ERROR: TRAINING JOB NOT FOUND
|
||
|
TrainingStatus string `json:"trainingStatus,omitempty"`
|
||
|
|
||
|
// Utility: A class weighting function, which allows the importance
|
||
|
// weights for class labels to be specified [Categorical models only].
|
||
|
Utility []map[string]float64 `json:"utility,omitempty"`
|
||
|
|
||
|
// ServerResponse contains the HTTP response code and headers from the
|
||
|
// server.
|
||
|
googleapi.ServerResponse `json:"-"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "DataAnalysis") to
|
||
|
// unconditionally include in API requests. By default, fields with
|
||
|
// empty values are omitted from API requests. However, any non-pointer,
|
||
|
// non-interface field appearing in ForceSendFields will be sent to the
|
||
|
// server regardless of whether the field is empty or not. This may be
|
||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
|
||
|
|
||
|
// NullFields is a list of field names (e.g. "DataAnalysis") 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 *Training) MarshalJSON() ([]byte, error) {
|
||
|
type noMethod Training
|
||
|
raw := noMethod(*s)
|
||
|
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
|
||
|
}
|
||
|
|
||
|
// TrainingDataAnalysis: Data Analysis.
|
||
|
type TrainingDataAnalysis struct {
|
||
|
Warnings []string `json:"warnings,omitempty"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "Warnings") to
|
||
|
// unconditionally include in API requests. By default, fields with
|
||
|
// empty values are omitted from API requests. However, any non-pointer,
|
||
|
// non-interface field appearing in ForceSendFields will be sent to the
|
||
|
// server regardless of whether the field is empty or not. This may be
|
||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
|
||
|
|
||
|
// NullFields is a list of field names (e.g. "Warnings") 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 *TrainingDataAnalysis) MarshalJSON() ([]byte, error) {
|
||
|
type noMethod TrainingDataAnalysis
|
||
|
raw := noMethod(*s)
|
||
|
return gensupport.MarshalJSON(raw, s.ForceSendFields, s.NullFields)
|
||
|
}
|
||
|
|
||
|
// TrainingModelInfo: Model metadata.
|
||
|
type TrainingModelInfo struct {
|
||
|
// ClassWeightedAccuracy: Estimated accuracy of model taking utility
|
||
|
// weights into account [Categorical models only].
|
||
|
ClassWeightedAccuracy float64 `json:"classWeightedAccuracy,omitempty"`
|
||
|
|
||
|
// ClassificationAccuracy: A number between 0.0 and 1.0, where 1.0 is
|
||
|
// 100% accurate. This is an estimate, based on the amount and quality
|
||
|
// of the training data, of the estimated prediction accuracy. You can
|
||
|
// use this is a guide to decide whether the results are accurate enough
|
||
|
// for your needs. This estimate will be more reliable if your real
|
||
|
// input data is similar to your training data [Categorical models
|
||
|
// only].
|
||
|
ClassificationAccuracy float64 `json:"classificationAccuracy,omitempty"`
|
||
|
|
||
|
// ConfusionMatrix: An output confusion matrix. This shows an estimate
|
||
|
// for how this model will do in predictions. This is first indexed by
|
||
|
// the true class label. For each true class label, this provides a pair
|
||
|
// {predicted_label, count}, where count is the estimated number of
|
||
|
// times the model will predict the predicted label given the true
|
||
|
// label. Will not output if more then 100 classes [Categorical models
|
||
|
// only].
|
||
|
ConfusionMatrix map[string]map[string]float64 `json:"confusionMatrix,omitempty"`
|
||
|
|
||
|
// 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"`
|
||
|
|
||
|
// 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 *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 {
|
||
|
// CsvInstance: The input features for this instance
|
||
|
CsvInstance []interface{} `json:"csvInstance,omitempty"`
|
||
|
|
||
|
// Label: The class label of this instance
|
||
|
Label string `json:"label,omitempty"`
|
||
|
|
||
|
// Output: The generic output value - could be regression value or class
|
||
|
// label
|
||
|
Output string `json:"output,omitempty"`
|
||
|
|
||
|
// ForceSendFields is a list of field names (e.g. "CsvInstance") to
|
||
|
// unconditionally include in API requests. By default, fields with
|
||
|
// empty values are omitted from API requests. However, any non-pointer,
|
||
|
// non-interface field appearing in ForceSendFields will be sent to the
|
||
|
// server regardless of whether the field is empty or not. This may be
|
||
|
// used to include empty fields in Patch requests.
|
||
|
ForceSendFields []string `json:"-"`
|
||
|
|
||
|
// 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
|
||
|
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.trainedmodels.delete":
|
||
|
|
||
|
type TrainedmodelsDeleteCall struct {
|
||
|
s *Service
|
||
|
id string
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Delete: Delete a trained model.
|
||
|
func (r *TrainedmodelsService) Delete(id string) *TrainedmodelsDeleteCall {
|
||
|
c := &TrainedmodelsDeleteCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
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, "trainedmodels/{id}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("DELETE", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"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": [
|
||
|
// "id"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "id": {
|
||
|
// "description": "The unique name for the predictive model.",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "trainedmodels/{id}",
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.trainedmodels.get":
|
||
|
|
||
|
type TrainedmodelsGetCall struct {
|
||
|
s *Service
|
||
|
id string
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ifNoneMatch_ string
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Get: Check training status of your model.
|
||
|
func (r *TrainedmodelsService) Get(id string) *TrainedmodelsGetCall {
|
||
|
c := &TrainedmodelsGetCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
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, "trainedmodels/{id}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("GET", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"id": c.id,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.trainedmodels.get" call.
|
||
|
// Exactly one of *Training or error will be non-nil. Any non-2xx status
|
||
|
// code is an error. Response headers are in either
|
||
|
// *Training.ServerResponse.Header or (if a response was returned at
|
||
|
// all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified
|
||
|
// to check whether the returned error was because
|
||
|
// http.StatusNotModified was returned.
|
||
|
func (c *TrainedmodelsGetCall) 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.trainedmodels.get",
|
||
|
// "parameterOrder": [
|
||
|
// "id"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "id": {
|
||
|
// "description": "The unique name for the predictive model.",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "trainedmodels/{id}",
|
||
|
// "response": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.trainedmodels.insert":
|
||
|
|
||
|
type TrainedmodelsInsertCall struct {
|
||
|
s *Service
|
||
|
training *Training
|
||
|
urlParams_ gensupport.URLParams
|
||
|
ctx_ context.Context
|
||
|
header_ http.Header
|
||
|
}
|
||
|
|
||
|
// Insert: Begin training your model.
|
||
|
func (r *TrainedmodelsService) Insert(training *Training) *TrainedmodelsInsertCall {
|
||
|
c := &TrainedmodelsInsertCall{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 *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.training)
|
||
|
if err != nil {
|
||
|
return nil, err
|
||
|
}
|
||
|
reqHeaders.Set("Content-Type", "application/json")
|
||
|
c.urlParams_.Set("alt", alt)
|
||
|
urls := googleapi.ResolveRelative(c.s.BasePath, "trainedmodels")
|
||
|
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.trainedmodels.insert" call.
|
||
|
// Exactly one of *Training or error will be non-nil. Any non-2xx status
|
||
|
// code is an error. Response headers are in either
|
||
|
// *Training.ServerResponse.Header or (if a response was returned at
|
||
|
// all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified
|
||
|
// to check whether the returned error was because
|
||
|
// http.StatusNotModified was returned.
|
||
|
func (c *TrainedmodelsInsertCall) 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.trainedmodels.insert",
|
||
|
// "path": "trainedmodels",
|
||
|
// "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.trainedmodels.predict":
|
||
|
|
||
|
type TrainedmodelsPredictCall struct {
|
||
|
s *Service
|
||
|
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(id string, input *Input) *TrainedmodelsPredictCall {
|
||
|
c := &TrainedmodelsPredictCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
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, "trainedmodels/{id}/predict")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("POST", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"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": [
|
||
|
// "id"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "id": {
|
||
|
// "description": "The unique name for the predictive model.",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "trainedmodels/{id}/predict",
|
||
|
// "request": {
|
||
|
// "$ref": "Input"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Output"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|
||
|
|
||
|
// method id "prediction.trainedmodels.update":
|
||
|
|
||
|
type TrainedmodelsUpdateCall struct {
|
||
|
s *Service
|
||
|
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(id string, update *Update) *TrainedmodelsUpdateCall {
|
||
|
c := &TrainedmodelsUpdateCall{s: r.s, urlParams_: make(gensupport.URLParams)}
|
||
|
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, "trainedmodels/{id}")
|
||
|
urls += "?" + c.urlParams_.Encode()
|
||
|
req, _ := http.NewRequest("PUT", urls, body)
|
||
|
req.Header = reqHeaders
|
||
|
googleapi.Expand(req.URL, map[string]string{
|
||
|
"id": c.id,
|
||
|
})
|
||
|
return gensupport.SendRequest(c.ctx_, c.s.client, req)
|
||
|
}
|
||
|
|
||
|
// Do executes the "prediction.trainedmodels.update" call.
|
||
|
// Exactly one of *Training or error will be non-nil. Any non-2xx status
|
||
|
// code is an error. Response headers are in either
|
||
|
// *Training.ServerResponse.Header or (if a response was returned at
|
||
|
// all) in error.(*googleapi.Error).Header. Use googleapi.IsNotModified
|
||
|
// to check whether the returned error was because
|
||
|
// http.StatusNotModified was returned.
|
||
|
func (c *TrainedmodelsUpdateCall) 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.trainedmodels.update",
|
||
|
// "parameterOrder": [
|
||
|
// "id"
|
||
|
// ],
|
||
|
// "parameters": {
|
||
|
// "id": {
|
||
|
// "description": "The unique name for the predictive model.",
|
||
|
// "location": "path",
|
||
|
// "required": true,
|
||
|
// "type": "string"
|
||
|
// }
|
||
|
// },
|
||
|
// "path": "trainedmodels/{id}",
|
||
|
// "request": {
|
||
|
// "$ref": "Update"
|
||
|
// },
|
||
|
// "response": {
|
||
|
// "$ref": "Training"
|
||
|
// },
|
||
|
// "scopes": [
|
||
|
// "https://www.googleapis.com/auth/prediction"
|
||
|
// ]
|
||
|
// }
|
||
|
|
||
|
}
|