gettrainedmodelsstats

package
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Published: Apr 5, 2023 License: Apache-2.0 Imports: 13 Imported by: 0

Documentation

Overview

Retrieves usage information for trained inference models.

Index

Constants

This section is empty.

Variables

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var ErrBuildPath = errors.New("cannot build path, check for missing path parameters")

ErrBuildPath is returned in case of missing parameters within the build of the request.

Functions

This section is empty.

Types

type GetTrainedModelsStats

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

func (*GetTrainedModelsStats) AllowNoMatch

func (r *GetTrainedModelsStats) AllowNoMatch(b bool) *GetTrainedModelsStats

AllowNoMatch Specifies what to do when the request:

- Contains wildcard expressions and there are no models that match. - Contains the _all string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.

If true, it returns an empty array when there are no matches and the subset of results when there are partial matches. API name: allow_no_match

func (GetTrainedModelsStats) Do

Do runs the request through the transport, handle the response and returns a gettrainedmodelsstats.Response

func (*GetTrainedModelsStats) From

From Skips the specified number of models. API name: from

func (*GetTrainedModelsStats) Header

func (r *GetTrainedModelsStats) Header(key, value string) *GetTrainedModelsStats

Header set a key, value pair in the GetTrainedModelsStats headers map.

func (*GetTrainedModelsStats) HttpRequest

func (r *GetTrainedModelsStats) HttpRequest(ctx context.Context) (*http.Request, error)

HttpRequest returns the http.Request object built from the given parameters.

func (GetTrainedModelsStats) IsSuccess

func (r GetTrainedModelsStats) IsSuccess(ctx context.Context) (bool, error)

IsSuccess allows to run a query with a context and retrieve the result as a boolean. This only exists for endpoints without a request payload and allows for quick control flow.

func (*GetTrainedModelsStats) ModelId

ModelId The unique identifier of the trained model or a model alias. It can be a comma-separated list or a wildcard expression. API Name: modelid

func (GetTrainedModelsStats) Perform

Perform runs the http.Request through the provided transport and returns an http.Response.

func (*GetTrainedModelsStats) Size

Size Specifies the maximum number of models to obtain. API name: size

type NewGetTrainedModelsStats

type NewGetTrainedModelsStats func() *GetTrainedModelsStats

NewGetTrainedModelsStats type alias for index.

func NewGetTrainedModelsStatsFunc

func NewGetTrainedModelsStatsFunc(tp elastictransport.Interface) NewGetTrainedModelsStats

NewGetTrainedModelsStatsFunc returns a new instance of GetTrainedModelsStats with the provided transport. Used in the index of the library this allows to retrieve every apis in once place.

type Response

type Response struct {

	// Count The total number of trained model statistics that matched the requested ID
	// patterns. Could be higher than the number of items in the trained_model_stats
	// array as the size of the array is restricted by the supplied size parameter.
	Count int `json:"count"`
	// TrainedModelStats An array of trained model statistics, which are sorted by the model_id value
	// in ascending order.
	TrainedModelStats []types.TrainedModelStats `json:"trained_model_stats"`
}

func NewResponse

func NewResponse() *Response

NewResponse returns a Response

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