K - Type of a key in upstream data.V - Type of a value in upstream data.public class EncoderTrainer<K,V> extends Object implements PreprocessingTrainer<K,V,Object[],Vector>
| Constructor and Description |
|---|
EncoderTrainer() |
| Modifier and Type | Method and Description |
|---|---|
EncoderPreprocessor<K,V> |
fit(DatasetBuilder<K,V> datasetBuilder,
IgniteBiFunction<K,V,Object[]> basePreprocessor)
Fits preprocessor.
|
EncoderTrainer<K,V> |
withEncodedFeature(int idx)
Add the index of encoded feature.
|
EncoderTrainer<K,V> |
withEncodedFeatures(Set<Integer> handledIndices)
Sets the indices of features which should be encoded.
|
EncoderTrainer<K,V> |
withEncoderType(EncoderType type)
Sets the encoder preprocessor type.
|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitfit, fitpublic EncoderPreprocessor<K,V> fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,Object[]> basePreprocessor)
public EncoderTrainer<K,V> withEncodedFeature(int idx)
idx - The index of encoded feature.public EncoderTrainer<K,V> withEncoderType(EncoderType type)
type - The encoder preprocessor type.public EncoderTrainer<K,V> withEncodedFeatures(Set<Integer> handledIndices)
handledIndices - Indices of features which should be encoded.
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Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019