com.datumbox.framework.core.machinelearning.preprocessing

Class OneHotEncoder

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.transformers.AbstractTransformer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.transformers.AbstractEncoder<OneHotEncoder.ModelParameters,OneHotEncoder.TrainingParameters>

com.datumbox.framework.core.machinelearning.preprocessing.OneHotEncoder

All Implemented Interfaces:

Savable, Parallelizable, Trainable<OneHotEncoder.ModelParameters,OneHotEncoder.TrainingParameters>, java.lang.AutoCloseable

public class OneHotEncoder
extends AbstractEncoder<OneHotEncoder.ModelParameters,OneHotEncoder.TrainingParameters>

Encodes the categorical columns of the dataset into booleans using the One Hot Encoding method.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	OneHotEncoder.ModelParameters Base class for every ModelParameter class in the framework.
static class	OneHotEncoder.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

AbstractTrainer.AbstractModelParameters, AbstractTrainer.AbstractTrainingParameters

Method Summary

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.transformers.AbstractTransformer

fit_transform, isParallelized, setParallelized, transform

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

close, delete, fit, getModelParameters, getTrainingParameters, save

Methods inherited from class java.lang.Object

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