org.apache.ignite.ml.regressions.linear

Class LinearRegressionLSQRTrainer

java.lang.Object

org.apache.ignite.ml.trainers.DatasetTrainer<M,Double>

org.apache.ignite.ml.trainers.SingleLabelDatasetTrainer<LinearRegressionModel>

org.apache.ignite.ml.regressions.linear.LinearRegressionLSQRTrainer

public class LinearRegressionLSQRTrainer
extends SingleLabelDatasetTrainer<LinearRegressionModel>

Trainer of the linear regression model based on LSQR algorithm.

See Also:

AbstractLSQR

Nested Class Summary

Nested classes/interfaces inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

DatasetTrainer.EmptyDatasetException

Field Summary

Fields inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

environment

Constructor Summary

Constructors

Constructor and Description
LinearRegressionLSQRTrainer()

Method Summary

Modifier and Type	Method and Description
protected boolean	checkState(LinearRegressionModel mdl)
<K,V> LinearRegressionModel	fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Trains model based on the specified data.
protected <K,V> LinearRegressionModel	updateModel(LinearRegressionModel mdl, DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Vector> featureExtractor, IgniteBiFunction<K,V,Double> lbExtractor) Gets state of model in arguments, update in according to new data and return new model.

Methods inherited from class org.apache.ignite.ml.trainers.DatasetTrainer

fit, fit, fit, fit, getLastTrainedModelOrThrowEmptyDatasetException, setEnvironment, update, update, update, update, update

Methods inherited from class java.lang.Object

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

Constructor Detail

LinearRegressionLSQRTrainer

public LinearRegressionLSQRTrainer()

Method Detail

fit

public <K,V> LinearRegressionModel fit(DatasetBuilder<K,V> datasetBuilder,
                                       IgniteBiFunction<K,V,Vector> featureExtractor,
                                       IgniteBiFunction<K,V,Double> lbExtractor)

Trains model based on the specified data.

Specified by:

fit in class DatasetTrainer<LinearRegressionModel,Double>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

Parameters:

datasetBuilder - Dataset builder.

featureExtractor - Feature extractor.

lbExtractor - Label extractor.

Returns:

Model.

updateModel

protected <K,V> LinearRegressionModel updateModel(LinearRegressionModel mdl,
                                                  DatasetBuilder<K,V> datasetBuilder,
                                                  IgniteBiFunction<K,V,Vector> featureExtractor,
                                                  IgniteBiFunction<K,V,Double> lbExtractor)

Gets state of model in arguments, update in according to new data and return new model.

Specified by:

updateModel in class DatasetTrainer<LinearRegressionModel,Double>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

Parameters:

mdl - Learned model.

datasetBuilder - Dataset builder.

featureExtractor - Feature extractor.

lbExtractor - Label extractor.

Returns:

Updated model.

checkState

protected boolean checkState(LinearRegressionModel mdl)

Specified by:

checkState in class DatasetTrainer<LinearRegressionModel,Double>

Parameters:

mdl - Model.

Returns:

true if current critical for training parameters correspond to parameters from last training.