| // 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/v1.2" |
| // ... |
| // predictionService, err := prediction.New(oauthHttpClient) |
| package prediction |
| |
| import ( |
| "bytes" |
| "encoding/json" |
| "errors" |
| "fmt" |
| "golang.org/x/net/context" |
| "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 _ = googleapi.Version |
| var _ = errors.New |
| var _ = strings.Replace |
| var _ = context.Background |
| |
| const apiId = "prediction:v1.2" |
| const apiName = "prediction" |
| const apiVersion = "v1.2" |
| const basePath = "https://www.googleapis.com/prediction/v1.2/" |
| |
| // OAuth2 scopes used by this API. |
| const ( |
| // Manage your data and permissions in Google Cloud Storage |
| DevstorageFull_controlScope = "https://www.googleapis.com/auth/devstorage.full_control" |
| |
| // View your data in Google Cloud Storage |
| DevstorageRead_onlyScope = "https://www.googleapis.com/auth/devstorage.read_only" |
| |
| // Manage your data in Google Cloud Storage |
| DevstorageRead_writeScope = "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 |
| |
| Hostedmodels *HostedmodelsService |
| |
| Training *TrainingService |
| } |
| |
| 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 *InputInput `json:"input,omitempty"` |
| } |
| |
| type InputInput struct { |
| CsvInstance []interface{} `json:"csvInstance,omitempty"` |
| } |
| |
| type Output struct { |
| Id string `json:"id,omitempty"` |
| |
| Kind string `json:"kind,omitempty"` |
| |
| OutputLabel string `json:"outputLabel,omitempty"` |
| |
| OutputMulti []*OutputOutputMulti `json:"outputMulti,omitempty"` |
| |
| OutputValue float64 `json:"outputValue,omitempty"` |
| |
| SelfLink string `json:"selfLink,omitempty"` |
| } |
| |
| type OutputOutputMulti struct { |
| Label string `json:"label,omitempty"` |
| |
| Score float64 `json:"score,omitempty"` |
| } |
| |
| type Training struct { |
| Id string `json:"id,omitempty"` |
| |
| Kind string `json:"kind,omitempty"` |
| |
| ModelInfo *TrainingModelInfo `json:"modelInfo,omitempty"` |
| |
| SelfLink string `json:"selfLink,omitempty"` |
| |
| TrainingStatus string `json:"trainingStatus,omitempty"` |
| } |
| |
| type TrainingModelInfo struct { |
| ClassificationAccuracy float64 `json:"classificationAccuracy,omitempty"` |
| |
| MeanSquaredError float64 `json:"meanSquaredError,omitempty"` |
| |
| ModelType string `json:"modelType,omitempty"` |
| } |
| |
| 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"` |
| } |
| |
| // method id "prediction.predict": |
| |
| type PredictCall struct { |
| s *Service |
| data string |
| input *Input |
| opt_ map[string]interface{} |
| } |
| |
| // Predict: Submit data and request a prediction |
| func (s *Service) Predict(data string, input *Input) *PredictCall { |
| c := &PredictCall{s: s, opt_: make(map[string]interface{})} |
| 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 *PredictCall) Fields(s ...googleapi.Field) *PredictCall { |
| c.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *PredictCall) Do() (*Output, error) { |
| var body io.Reader = nil |
| body, err := googleapi.WithoutDataWrapper.JSONReader(c.input) |
| if err != nil { |
| return nil, err |
| } |
| ctype := "application/json" |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "training/{data}/predict") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("POST", urls, body) |
| googleapi.Expand(req.URL, map[string]string{ |
| "data": c.data, |
| }) |
| req.Header.Set("Content-Type", ctype) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| if err != nil { |
| return nil, err |
| } |
| defer googleapi.CloseBody(res) |
| if err := googleapi.CheckResponse(res); err != nil { |
| return nil, err |
| } |
| var ret *Output |
| if err := json.NewDecoder(res.Body).Decode(&ret); err != nil { |
| return nil, err |
| } |
| return ret, nil |
| // { |
| // "description": "Submit data and request a prediction", |
| // "httpMethod": "POST", |
| // "id": "prediction.predict", |
| // "parameterOrder": [ |
| // "data" |
| // ], |
| // "parameters": { |
| // "data": { |
| // "description": "mybucket%2Fmydata 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.hostedmodels.predict": |
| |
| type HostedmodelsPredictCall struct { |
| s *Service |
| hostedModelName string |
| input *Input |
| opt_ map[string]interface{} |
| } |
| |
| // 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, opt_: make(map[string]interface{})} |
| 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.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *HostedmodelsPredictCall) Do() (*Output, error) { |
| var body io.Reader = nil |
| body, err := googleapi.WithoutDataWrapper.JSONReader(c.input) |
| if err != nil { |
| return nil, err |
| } |
| ctype := "application/json" |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "hostedmodels/{hostedModelName}/predict") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("POST", urls, body) |
| googleapi.Expand(req.URL, map[string]string{ |
| "hostedModelName": c.hostedModelName, |
| }) |
| req.Header.Set("Content-Type", ctype) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| if err != nil { |
| return nil, err |
| } |
| defer googleapi.CloseBody(res) |
| if err := googleapi.CheckResponse(res); err != nil { |
| return nil, err |
| } |
| var ret *Output |
| if err := json.NewDecoder(res.Body).Decode(&ret); 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 |
| opt_ map[string]interface{} |
| } |
| |
| // Delete: Delete a trained model |
| func (r *TrainingService) Delete(data string) *TrainingDeleteCall { |
| c := &TrainingDeleteCall{s: r.s, opt_: make(map[string]interface{})} |
| 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.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *TrainingDeleteCall) Do() error { |
| var body io.Reader = nil |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "training/{data}") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("DELETE", urls, body) |
| googleapi.Expand(req.URL, map[string]string{ |
| "data": c.data, |
| }) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| 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 |
| opt_ map[string]interface{} |
| } |
| |
| // Get: Check training status of your model |
| func (r *TrainingService) Get(data string) *TrainingGetCall { |
| c := &TrainingGetCall{s: r.s, opt_: make(map[string]interface{})} |
| 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.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *TrainingGetCall) Do() (*Training, error) { |
| var body io.Reader = nil |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "training/{data}") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("GET", urls, body) |
| googleapi.Expand(req.URL, map[string]string{ |
| "data": c.data, |
| }) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| if err != nil { |
| return nil, err |
| } |
| defer googleapi.CloseBody(res) |
| if err := googleapi.CheckResponse(res); err != nil { |
| return nil, err |
| } |
| var ret *Training |
| if err := json.NewDecoder(res.Body).Decode(&ret); 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 |
| opt_ map[string]interface{} |
| } |
| |
| // Insert: Begin training your model |
| func (r *TrainingService) Insert(training *Training) *TrainingInsertCall { |
| c := &TrainingInsertCall{s: r.s, opt_: make(map[string]interface{})} |
| c.training = training |
| return c |
| } |
| |
| // Data sets the optional parameter "data": mybucket/mydata resource in |
| // Google Storage |
| func (c *TrainingInsertCall) Data(data string) *TrainingInsertCall { |
| c.opt_["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 *TrainingInsertCall) Fields(s ...googleapi.Field) *TrainingInsertCall { |
| c.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *TrainingInsertCall) Do() (*Training, error) { |
| var body io.Reader = nil |
| body, err := googleapi.WithoutDataWrapper.JSONReader(c.training) |
| if err != nil { |
| return nil, err |
| } |
| ctype := "application/json" |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["data"]; ok { |
| params.Set("data", fmt.Sprintf("%v", v)) |
| } |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "training") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("POST", urls, body) |
| googleapi.SetOpaque(req.URL) |
| req.Header.Set("Content-Type", ctype) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| if err != nil { |
| return nil, err |
| } |
| defer googleapi.CloseBody(res) |
| if err := googleapi.CheckResponse(res); err != nil { |
| return nil, err |
| } |
| var ret *Training |
| if err := json.NewDecoder(res.Body).Decode(&ret); err != nil { |
| return nil, err |
| } |
| return ret, nil |
| // { |
| // "description": "Begin training your model", |
| // "httpMethod": "POST", |
| // "id": "prediction.training.insert", |
| // "parameters": { |
| // "data": { |
| // "description": "mybucket/mydata resource in Google Storage", |
| // "location": "query", |
| // "type": "string" |
| // } |
| // }, |
| // "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.update": |
| |
| type TrainingUpdateCall struct { |
| s *Service |
| data string |
| update *Update |
| opt_ map[string]interface{} |
| } |
| |
| // Update: Add new data to a trained model |
| func (r *TrainingService) Update(data string, update *Update) *TrainingUpdateCall { |
| c := &TrainingUpdateCall{s: r.s, opt_: make(map[string]interface{})} |
| 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.opt_["fields"] = googleapi.CombineFields(s) |
| return c |
| } |
| |
| func (c *TrainingUpdateCall) Do() (*Training, error) { |
| var body io.Reader = nil |
| body, err := googleapi.WithoutDataWrapper.JSONReader(c.update) |
| if err != nil { |
| return nil, err |
| } |
| ctype := "application/json" |
| params := make(url.Values) |
| params.Set("alt", "json") |
| if v, ok := c.opt_["fields"]; ok { |
| params.Set("fields", fmt.Sprintf("%v", v)) |
| } |
| urls := googleapi.ResolveRelative(c.s.BasePath, "training/{data}") |
| urls += "?" + params.Encode() |
| req, _ := http.NewRequest("PUT", urls, body) |
| googleapi.Expand(req.URL, map[string]string{ |
| "data": c.data, |
| }) |
| req.Header.Set("Content-Type", ctype) |
| req.Header.Set("User-Agent", "google-api-go-client/0.5") |
| res, err := c.s.client.Do(req) |
| if err != nil { |
| return nil, err |
| } |
| defer googleapi.CloseBody(res) |
| if err := googleapi.CheckResponse(res); err != nil { |
| return nil, err |
| } |
| var ret *Training |
| if err := json.NewDecoder(res.Body).Decode(&ret); 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" |
| // ] |
| // } |
| |
| } |