Package com.datumbox.framework.applications.datamodeling

Class Modeler.TrainingParameters

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer.AbstractTrainingParameters

com.datumbox.framework.applications.datamodeling.Modeler.TrainingParameters

All Implemented Interfaces:

Parameterizable, TrainingParameters, Serializable

Direct Known Subclasses:

TextClassifier.TrainingParameters

Enclosing class:

Modeler

public static class Modeler.TrainingParameters
extends AbstractTrainer.AbstractTrainingParameters

It contains the Training Parameters of the Modeler.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
TrainingParameters()

Method Summary

Modifier and Type	Method	Description
AbstractTrainer.AbstractTrainingParameters	getCategoricalEncoderTrainingParameters()	Getter for the Training Parameters of the categorical encoder.
List<AbstractTrainer.AbstractTrainingParameters>	getFeatureSelectorTrainingParametersList()	Getter for the Training Parameters of the Feature Selectors.
AbstractTrainer.AbstractTrainingParameters	getModelerTrainingParameters()	Getter for the Training Parameters of the Machine Learning modeler.
AbstractScaler.AbstractTrainingParameters	getNumericalScalerTrainingParameters()	Getter for the Training Parameters of the numerical scaler.
void	setCategoricalEncoderTrainingParameters(AbstractTrainer.AbstractTrainingParameters categoricalEncoderTrainingParameters)	Setter for the Training Parameters of the categorical encoder.
void	setFeatureSelectorTrainingParametersList(List<AbstractTrainer.AbstractTrainingParameters> featureSelectorTrainingParametersList)	Setter for the Training Parameters of the Feature Selectors.
void	setModelerTrainingParameters(AbstractTrainer.AbstractTrainingParameters modelerTrainingParameters)	Setter for the Training Parameters of the Machine Learning modeler.
void	setNumericalScalerTrainingParameters(AbstractScaler.AbstractTrainingParameters numericalScalerTrainingParameters)	Setter for the Training Parameters of the numerical scaler.

Methods inherited from class java.lang.Object

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

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.TrainingParameters

getMPClass, getTClass

Constructor Detail

TrainingParameters

public TrainingParameters()

Method Detail

getNumericalScalerTrainingParameters

public AbstractScaler.AbstractTrainingParameters getNumericalScalerTrainingParameters()

Getter for the Training Parameters of the numerical scaler.

Returns:

setNumericalScalerTrainingParameters

public void setNumericalScalerTrainingParameters(AbstractScaler.AbstractTrainingParameters numericalScalerTrainingParameters)

Setter for the Training Parameters of the numerical scaler.

Parameters:

numericalScalerTrainingParameters -

getCategoricalEncoderTrainingParameters

public AbstractTrainer.AbstractTrainingParameters getCategoricalEncoderTrainingParameters()

Getter for the Training Parameters of the categorical encoder.

Returns:

setCategoricalEncoderTrainingParameters

public void setCategoricalEncoderTrainingParameters(AbstractTrainer.AbstractTrainingParameters categoricalEncoderTrainingParameters)

Setter for the Training Parameters of the categorical encoder.

Parameters:

categoricalEncoderTrainingParameters -

getFeatureSelectorTrainingParametersList

public List<AbstractTrainer.AbstractTrainingParameters> getFeatureSelectorTrainingParametersList()

Getter for the Training Parameters of the Feature Selectors.

Returns:

setFeatureSelectorTrainingParametersList

public void setFeatureSelectorTrainingParametersList(List<AbstractTrainer.AbstractTrainingParameters> featureSelectorTrainingParametersList)

Setter for the Training Parameters of the Feature Selectors.

Parameters:

featureSelectorTrainingParametersList -

getModelerTrainingParameters

public AbstractTrainer.AbstractTrainingParameters getModelerTrainingParameters()

Getter for the Training Parameters of the Machine Learning modeler.

Returns:

setModelerTrainingParameters

public void setModelerTrainingParameters(AbstractTrainer.AbstractTrainingParameters modelerTrainingParameters)

Setter for the Training Parameters of the Machine Learning modeler.

Parameters:

modelerTrainingParameters -