mlimporter

Documentation

Overview

Package mlimporter contains code for loading Elastic X-Pack Machine Learning job configurations.

Index

• func HaveXpackML(esClient MLLoader) (bool, error)
• func ImportMachineLearningJob(esClient MLLoader, cfg *MLConfig) error
• type MLConfig
• type MLLoader

Functions

func HaveXpackML

func HaveXpackML(esClient MLLoader) (bool, error)

HaveXpackML checks whether X-pack is installed and has Machine Learning enabled.

func ImportMachineLearningJob

func ImportMachineLearningJob(esClient MLLoader, cfg *MLConfig) error

ImportMachineLearningJob uploads the job and datafeed configuration to ES/xpack.

Types

type MLConfig

type MLConfig struct {
	ID           string `config:"id"`
	JobPath      string `config:"job"`
	DatafeedPath string `config:"datafeed"`
	MinVersion   string `config:"min_version"`
}

MLConfig contains the required configuration for loading one job and the associated datafeed.

type MLLoader

type MLLoader interface {
	Request(method, path string, pipeline string, params map[string]string, body interface{}) (int, []byte, error)
	LoadJSON(path string, json map[string]interface{}) ([]byte, error)
	GetVersion() string
}

MLLoader is a subset of the Elasticsearch client API capable of loading the ML configs.