Current File : //home/waritko/go/src/google.golang.org/api/prediction/v1.3/prediction-gen.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/v1.3"
// ...
// predictionService, err := prediction.New(oauthHttpClient)
package prediction // import "google.golang.org/api/prediction/v1.3"
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:v1.3"
const apiName = "prediction"
const apiVersion = "v1.3"
const basePath = "https://www.googleapis.com/prediction/v1.3/"
// 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.Training = NewTrainingService(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
Training *TrainingService
}
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 NewTrainingService(s *Service) *TrainingService {
rs := &TrainingService{s: s}
return rs
}
type TrainingService 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 [Categorical models only].
OutputLabel string `json:"outputLabel,omitempty"`
// OutputMulti: A list of classes 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.
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 {
// 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"`
// 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 classes 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. "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 *Training) MarshalJSON() ([]byte, error) {
type NoMethod Training
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"`
// 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 := gensupport.DecodeResponse(target, res); 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 := gensupport.DecodeResponse(target, res); 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 := gensupport.DecodeResponse(target, res); 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 := gensupport.DecodeResponse(target, res); 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 := gensupport.DecodeResponse(target, res); 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"
// ]
// }
}
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