Package org.opensearch.ml.common.input.parameter.regression

Class LogisticRegressionParams.LogisticRegressionParamsBuilder

java.lang.Object

org.opensearch.ml.common.input.parameter.regression.LogisticRegressionParams.LogisticRegressionParamsBuilder

Enclosing class:

LogisticRegressionParams

public static class LogisticRegressionParams.LogisticRegressionParamsBuilder
extends Object

Method Summary

Modifier and Type	Method	Description
LogisticRegressionParams.LogisticRegressionParamsBuilder	batchSize(Integer batchSize)
LogisticRegressionParams.LogisticRegressionParamsBuilder	beta1(Double beta1)
LogisticRegressionParams.LogisticRegressionParamsBuilder	beta2(Double beta2)
LogisticRegressionParams	build()
LogisticRegressionParams.LogisticRegressionParamsBuilder	decayRate(Double decayRate)
LogisticRegressionParams.LogisticRegressionParamsBuilder	epochs(Integer epochs)
LogisticRegressionParams.LogisticRegressionParamsBuilder	epsilon(Double epsilon)
LogisticRegressionParams.LogisticRegressionParamsBuilder	learningRate(Double learningRate)
LogisticRegressionParams.LogisticRegressionParamsBuilder	loggingInterval(Integer loggingInterval)
LogisticRegressionParams.LogisticRegressionParamsBuilder	momentumFactor(Double momentumFactor)
LogisticRegressionParams.LogisticRegressionParamsBuilder	momentumType(LogisticRegressionParams.MomentumType momentumType)
LogisticRegressionParams.LogisticRegressionParamsBuilder	objectiveType(LogisticRegressionParams.ObjectiveType objectiveType)
LogisticRegressionParams.LogisticRegressionParamsBuilder	optimizerType(LogisticRegressionParams.OptimizerType optimizerType)
LogisticRegressionParams.LogisticRegressionParamsBuilder	seed(Long seed)
LogisticRegressionParams.LogisticRegressionParamsBuilder	target(String target)
String	toString()

Methods inherited from class java.lang.Object

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

Method Details

objectiveType

public LogisticRegressionParams.LogisticRegressionParamsBuilder objectiveType(LogisticRegressionParams.ObjectiveType objectiveType)

Returns:

this.

optimizerType

public LogisticRegressionParams.LogisticRegressionParamsBuilder optimizerType(LogisticRegressionParams.OptimizerType optimizerType)

Returns:

this.

momentumType

public LogisticRegressionParams.LogisticRegressionParamsBuilder momentumType(LogisticRegressionParams.MomentumType momentumType)

Returns:

this.

learningRate

public LogisticRegressionParams.LogisticRegressionParamsBuilder learningRate(Double learningRate)

Returns:

this.

epsilon

public LogisticRegressionParams.LogisticRegressionParamsBuilder epsilon(Double epsilon)

Returns:

this.

momentumFactor

public LogisticRegressionParams.LogisticRegressionParamsBuilder momentumFactor(Double momentumFactor)

Returns:

this.

beta1

public LogisticRegressionParams.LogisticRegressionParamsBuilder beta1(Double beta1)

Returns:

this.

beta2

public LogisticRegressionParams.LogisticRegressionParamsBuilder beta2(Double beta2)

Returns:

this.

decayRate

public LogisticRegressionParams.LogisticRegressionParamsBuilder decayRate(Double decayRate)

Returns:

this.

epochs

public LogisticRegressionParams.LogisticRegressionParamsBuilder epochs(Integer epochs)

Returns:

this.

batchSize

public LogisticRegressionParams.LogisticRegressionParamsBuilder batchSize(Integer batchSize)

Returns:

this.

loggingInterval

public LogisticRegressionParams.LogisticRegressionParamsBuilder loggingInterval(Integer loggingInterval)

Returns:

this.

seed

public LogisticRegressionParams.LogisticRegressionParamsBuilder seed(Long seed)

Returns:

this.

target

public LogisticRegressionParams.LogisticRegressionParamsBuilder target(String target)

Returns:

this.

build

public LogisticRegressionParams build()

toString

public String toString()

Overrides:

toString in class Object