Package | Description |
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org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
Modifier and Type | Method and Description |
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<K,V> LinearRegressionModel |
LinearRegressionLSQRTrainer.fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains model based on the specified data.
|
<K,V> LinearRegressionModel |
LinearRegressionSGDTrainer.fitWithInitializedDeployingContext(DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains model based on the specified data.
|
protected <K,V> LinearRegressionModel |
LinearRegressionLSQRTrainer.updateModel(LinearRegressionModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains new model taken previous one as a first approximation.
|
protected <K,V> LinearRegressionModel |
LinearRegressionSGDTrainer.updateModel(LinearRegressionModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains new model taken previous one as a first approximation.
|
Modifier and Type | Method and Description |
---|---|
boolean |
LinearRegressionLSQRTrainer.isUpdateable(LinearRegressionModel mdl) |
boolean |
LinearRegressionSGDTrainer.isUpdateable(LinearRegressionModel mdl) |
protected <K,V> LinearRegressionModel |
LinearRegressionLSQRTrainer.updateModel(LinearRegressionModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains new model taken previous one as a first approximation.
|
protected <K,V> LinearRegressionModel |
LinearRegressionSGDTrainer.updateModel(LinearRegressionModel mdl,
DatasetBuilder<K,V> datasetBuilder,
Preprocessor<K,V> extractor)
Trains new model taken previous one as a first approximation.
|
Modifier and Type | Method and Description |
---|---|
<P> void |
LinearRegressionModel.saveModel(Exporter<LinearRegressionModel,P> exporter,
P path)
Save model by the given path.
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024