eas

type EasModel struct {
	// contains filtered or unexported fields
}

type EasRequest struct {
	// contains filtered or unexported fields
}

type EasyrecRequest struct {
	EasRequest
	EasClient *eas.PredictClient
}

type EasyrecResponse struct {
	RawFeatures      string
	GenerateFeatures *bytes.Buffer
	ContextFeatures  string
	// contains filtered or unexported fields
}

type EasyrecUserEmbResponse struct {
	// contains filtered or unexported fields
}

type EasyrecUserRealtimeEmbeddingMindResponse struct {
	DimSize          int
	DimLength        int
	UserEmbedding    string
	EmbeddingList    []*EmbeddingInfo
	GenerateFeatures *bytes.Buffer
}

type EasyrecUserRealtimeEmbeddingResponse struct {
	EmbeddingList    []*EmbeddingInfo
	UserEmbedding    string
	GenerateFeatures *bytes.Buffer
}

type EmbeddingInfo struct {
	ItemId string
	Score  float64
}

type FMRequest struct {
	EasRequest
	// contains filtered or unexported fields
}

type HttpEasyrecRequest struct {
	EasRequest
}

type IEasRequest interface {
	Invoke(requestData interface{}) (body interface{}, err error)
	GetResponseFunc() response.ResponseFunc
}

type LincubRequest struct {
	EasRequest
}

type LincubRequestData struct {
	RequestId    string                   `json:"request_id"`
	Scene        string                   `json:"scene"`
	AlgoName     string                   `json:"algo"`
	UserId       string                   `json:"user_id"`
	Items        []string                 `json:"items"`
	Limit        int                      `json:"limit"`
	UserFeature  map[string]interface{}   `json:"user_feature"`
	ItemFeatures []map[string]interface{} `json:"item_features"`
}

type LinucbResponse struct {
	ErrorCode    int                   `json:"error_code"`
	ErrorMessage string                `json:"error_message"`
	Data         []*LinucbResponseItem `json:"data"`
}

type LinucbResponseItem struct {
	ItemId string  `json:"id"`
	Score  float64 `json:"score"`
}

type PMMLRequest struct {
	EasRequest
}

type TFRequest struct {
	EasRequest
	SignatureName string
	Outputs       []string
}

type TFServingRequest struct {
	EasRequest
	SignatureName string
	ModelName     string
	Outputs       []string
	Client        tensorflow_serving.PredictionServiceClient
}