com.datumbox.framework.applications.datamodeling

Class Modeler

java.lang.Object

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

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler<Modeler.ModelParameters,Modeler.TrainingParameters>

com.datumbox.framework.applications.datamodeling.Modeler

All Implemented Interfaces:

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

Direct Known Subclasses:

TextClassifier

public class Modeler
extends AbstractModeler<Modeler.ModelParameters,Modeler.TrainingParameters>
implements Parallelizable

Modeler is a convenience class which can be used to train Machine Learning models. It is a wrapper class which automatically takes care of the data transformation, feature selection and modeler training processes.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Modeler.ModelParameters It contains all the Model Parameters which are learned during the training.
static class	Modeler.TrainingParameters It contains the Training Parameters of the Modeler.

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

AbstractTrainer.AbstractModelParameters, AbstractTrainer.AbstractTrainingParameters

Method Summary

Modifier and Type	Method and Description
void	_predict(Dataframe newData) Estimates the predictions for a new Dataframe.
void	close()
void	delete() Deletes the data of the object.
boolean	isParallelized() Getter for the parallelized parameter.
void	save(java.lang.String storageName) Saves the data of the object.
void	setParallelized(boolean parallelized) Setter for the parallelized parameter.

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

predict

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

fit, getModelParameters, getTrainingParameters

Methods inherited from class java.lang.Object

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

Method Detail

isParallelized

public boolean isParallelized()

Getter for the parallelized parameter.

Specified by:

isParallelized in interface Parallelizable

Returns:

setParallelized

public void setParallelized(boolean parallelized)

Setter for the parallelized parameter.

Specified by:

setParallelized in interface Parallelizable

_predict

public void _predict(Dataframe newData)

Estimates the predictions for a new Dataframe.

save

public void save(java.lang.String storageName)

Saves the data of the object.

Specified by:

save in interface Savable

Overrides:

save in class AbstractTrainer<Modeler.ModelParameters,Modeler.TrainingParameters>

delete

public void delete()

Deletes the data of the object.

Specified by:

delete in interface Savable

Overrides:

delete in class AbstractTrainer<Modeler.ModelParameters,Modeler.TrainingParameters>

close

public void close()

Specified by:

close in interface java.lang.AutoCloseable

Overrides:

close in class AbstractTrainer<Modeler.ModelParameters,Modeler.TrainingParameters>