Package com.oracle.bmc.aianomalydetection.model

Class ModelTrainingDetails.Builder

java.lang.Object

com.oracle.bmc.aianomalydetection.model.ModelTrainingDetails.Builder

Enclosing class:

ModelTrainingDetails

public static class ModelTrainingDetails.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
ModelTrainingDetails.Builder	algorithmHint(ModelTrainingDetails.AlgorithmHint algorithmHint)	User can choose specific algorithm for training.
ModelTrainingDetails	build()
ModelTrainingDetails.Builder	copy(ModelTrainingDetails model)
ModelTrainingDetails.Builder	dataAssetIds(List<String> dataAssetIds)	The list of OCIDs of the data assets to train the model.
ModelTrainingDetails.Builder	targetFap(Float targetFap)	A target model accuracy metric user provides as their requirement
ModelTrainingDetails.Builder	trainingFraction(Float trainingFraction)	Fraction of total data that is used for training the model.
ModelTrainingDetails.Builder	windowSize(Integer windowSize)	This value would determine the window size of the training algorithm.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

algorithmHint

public ModelTrainingDetails.Builder algorithmHint(ModelTrainingDetails.AlgorithmHint algorithmHint)

User can choose specific algorithm for training.

Parameters:

algorithmHint - the value to set

Returns:

this builder

targetFap

public ModelTrainingDetails.Builder targetFap(Float targetFap)

A target model accuracy metric user provides as their requirement

Parameters:

targetFap - the value to set

Returns:

this builder

trainingFraction

public ModelTrainingDetails.Builder trainingFraction(Float trainingFraction)

Fraction of total data that is used for training the model.

The remaining is used for validation of the model.

Parameters:

trainingFraction - the value to set

Returns:

this builder

windowSize

public ModelTrainingDetails.Builder windowSize(Integer windowSize)

This value would determine the window size of the training algorithm.

Parameters:

windowSize - the value to set

Returns:

this builder

dataAssetIds

public ModelTrainingDetails.Builder dataAssetIds(List<String> dataAssetIds)

The list of OCIDs of the data assets to train the model.

The dataAssets have to be in the same project where the ai model would reside.

Parameters:

dataAssetIds - the value to set

Returns:

this builder

build

public ModelTrainingDetails build()

copy

public ModelTrainingDetails.Builder copy(ModelTrainingDetails model)