org.apache.ignite.ml.preprocessing

Interface PreprocessingTrainer<K,V,T,R>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

T - Type of a value returned by base preprocessor.

R - Type of a value returned by preprocessor fitted by this trainer.

All Known Implementing Classes:

NormalizationTrainer

public interface PreprocessingTrainer<K,V,T,R>

Trainer for preprocessor.

Method Summary

Modifier and Type	Method and Description
IgniteBiFunction<K,V,R>	fit(DatasetBuilder<K,V> datasetBuilder, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	fit(Ignite ignite, IgniteCache<K,V> cache, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.
default IgniteBiFunction<K,V,R>	fit(Map<K,V> data, int parts, IgniteBiFunction<K,V,T> basePreprocessor) Fits preprocessor.

Method Detail

fit

IgniteBiFunction<K,V,R> fit(DatasetBuilder<K,V> datasetBuilder,
                            IgniteBiFunction<K,V,T> basePreprocessor)

Fits preprocessor.

Parameters:

datasetBuilder - Dataset builder.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default IgniteBiFunction<K,V,R> fit(Ignite ignite,
                                    IgniteCache<K,V> cache,
                                    IgniteBiFunction<K,V,T> basePreprocessor)

Fits preprocessor.

Parameters:

ignite - Ignite instance.

cache - Ignite cache.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default IgniteBiFunction<K,V,R> fit(Map<K,V> data,
                                    int parts,
                                    IgniteBiFunction<K,V,T> basePreprocessor)

Fits preprocessor.

Parameters:

data - Data.

parts - Number of partitions.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.