Package com.oracle.bmc.aianomalydetection.model

Class ModelTrainingResults.Builder

java.lang.Object

com.oracle.bmc.aianomalydetection.model.ModelTrainingResults.Builder

Enclosing class:

ModelTrainingResults

public static class ModelTrainingResults.Builder
extends Object

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
ModelTrainingResults.Builder	algorithm(ModelTrainingResults.Algorithm algorithm)	Actual algorithm used to train the model
ModelTrainingResults	build()
ModelTrainingResults.Builder	copy(ModelTrainingResults model)
ModelTrainingResults.Builder	fap(Float fap)	The final-achieved model accuracy metric on individual value level
ModelTrainingResults.Builder	isTrainingGoalAchieved(Boolean isTrainingGoalAchieved)	A boolean value to indicate if train goal/targetFap is achieved for trained model
ModelTrainingResults.Builder	multivariateFap(Float multivariateFap)	The model accuracy metric on timestamp level.
ModelTrainingResults.Builder	rowReductionDetails(RowReductionDetails rowReductionDetails)
ModelTrainingResults.Builder	signalDetails(List<PerSignalDetails> signalDetails)	The list of signal details.
ModelTrainingResults.Builder	warning(String warning)	A warning message to explain the reason when targetFap cannot be achieved for trained model
ModelTrainingResults.Builder	windowSize(Integer windowSize)	Window size defined during training or deduced by the 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

fap

public ModelTrainingResults.Builder fap(Float fap)

The final-achieved model accuracy metric on individual value level

Parameters:

fap - the value to set

Returns:

this builder

multivariateFap

public ModelTrainingResults.Builder multivariateFap(Float multivariateFap)

The model accuracy metric on timestamp level.

Parameters:

multivariateFap - the value to set

Returns:

this builder

algorithm

public ModelTrainingResults.Builder algorithm(ModelTrainingResults.Algorithm algorithm)

Actual algorithm used to train the model

Parameters:

algorithm - the value to set

Returns:

this builder

windowSize

public ModelTrainingResults.Builder windowSize(Integer windowSize)

Window size defined during training or deduced by the algorithm.

Parameters:

windowSize - the value to set

Returns:

this builder

isTrainingGoalAchieved

public ModelTrainingResults.Builder isTrainingGoalAchieved(Boolean isTrainingGoalAchieved)

A boolean value to indicate if train goal/targetFap is achieved for trained model

Parameters:

isTrainingGoalAchieved - the value to set

Returns:

this builder

warning

public ModelTrainingResults.Builder warning(String warning)

A warning message to explain the reason when targetFap cannot be achieved for trained model

Parameters:

warning - the value to set

Returns:

this builder

signalDetails

public ModelTrainingResults.Builder signalDetails(List<PerSignalDetails> signalDetails)

The list of signal details.

Parameters:

signalDetails - the value to set

Returns:

this builder

rowReductionDetails

public ModelTrainingResults.Builder rowReductionDetails(RowReductionDetails rowReductionDetails)

build

public ModelTrainingResults build()

copy

public ModelTrainingResults.Builder copy(ModelTrainingResults model)