mltrainedmodels

package
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Published: Apr 21, 2023 License: Apache-2.0 Imports: 14 Imported by: 0

Documentation

Overview

Gets configuration and usage information about inference trained models.

Index

Constants

This section is empty.

Variables

View Source
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 MlTrainedModels

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

func New

Gets configuration and usage information about inference trained models.

https://www.elastic.co/guide/en/elasticsearch/reference/{branch}/cat-trained-model.html

func (*MlTrainedModels) AllowNoMatch

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

AllowNoMatch Whether to ignore if a wildcard expression matches no trained models. (This includes `_all` string or when no trained models have been specified) API name: allow_no_match

func (*MlTrainedModels) Bytes

func (r *MlTrainedModels) Bytes(enum bytes.Bytes) *MlTrainedModels

Bytes The unit in which to display byte values API name: bytes

func (MlTrainedModels) Do

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

func (*MlTrainedModels) From

func (r *MlTrainedModels) From(i int) *MlTrainedModels

From skips a number of trained models API name: from

func (*MlTrainedModels) H

H Comma-separated list of column names to display API name: h

func (*MlTrainedModels) Header

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

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

func (*MlTrainedModels) HttpRequest

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

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

func (MlTrainedModels) IsSuccess

func (r MlTrainedModels) 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 (*MlTrainedModels) ModelId

func (r *MlTrainedModels) ModelId(v string) *MlTrainedModels

ModelId The ID of the trained models stats to fetch API Name: modelid

func (MlTrainedModels) Perform

func (r MlTrainedModels) Perform(ctx context.Context) (*http.Response, error)

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

func (*MlTrainedModels) S

S Comma-separated list of column names or column aliases to sort by API name: s

func (*MlTrainedModels) Size

func (r *MlTrainedModels) Size(i int) *MlTrainedModels

Size specifies a max number of trained models to get API name: size

type NewMlTrainedModels

type NewMlTrainedModels func() *MlTrainedModels

NewMlTrainedModels type alias for index.

func NewMlTrainedModelsFunc

func NewMlTrainedModelsFunc(tp elastictransport.Interface) NewMlTrainedModels

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

type Response

type Response []types.TrainedModelsRecord

func NewResponse

func NewResponse() Response

NewResponse returns a Response

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