org.apache.ignite.ml.preprocessing

Interface PreprocessingTrainer<K,V>

Type Parameters:

K - Type of a key in upstream data.

V - Type of a value in upstream data.

All Known Implementing Classes:

BinarizationTrainer, EncoderTrainer, ImputerTrainer, MaxAbsScalerTrainer, MinMaxScalerTrainer, NormalizationTrainer, StandardScalerTrainer, VectorFinalizationTrainer

public interface PreprocessingTrainer<K,V>

Trainer for preprocessor.

Method Summary

Modifier and Type	Method and Description
default Preprocessor<K,V>	fit(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default Preprocessor<K,V>	fit(Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
Preprocessor<K,V>	fit(LearningEnvironmentBuilder envBuilder, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default Preprocessor<K,V>	fit(LearningEnvironmentBuilder envBuilder, Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default Preprocessor<K,V>	fit(LearningEnvironmentBuilder envBuilder, Map<K,V> data, int parts, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default Preprocessor<K,V>	fit(Map<K,V> data, int parts, Preprocessor<K,V> basePreprocessor) Fits preprocessor.
default LearningEnvironment	learningEnvironment(Preprocessor<K,V> basePreprocessor) Returns local learning environment with initialized deploying context by base preprocessor.

Method Detail

fit

Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder,
                      DatasetBuilder<K,V> datasetBuilder,
                      Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

envBuilder - Learning environment builder.

datasetBuilder - Dataset builder.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default Preprocessor<K,V> fit(DatasetBuilder<K,V> datasetBuilder,
                              Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

datasetBuilder - Dataset builder.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default Preprocessor<K,V> fit(Ignite ignite,
                              IgniteCache<K,V> cache,
                              Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

ignite - Ignite instance.

cache - Ignite cache.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder,
                              Ignite ignite,
                              IgniteCache<K,V> cache,
                              Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

envBuilder - Learning environment builder.

ignite - Ignite instance.

cache - Ignite cache.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder,
                              Map<K,V> data,
                              int parts,
                              Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

data - Data.

parts - Number of partitions.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

fit

default Preprocessor<K,V> fit(Map<K,V> data,
                              int parts,
                              Preprocessor<K,V> basePreprocessor)

Fits preprocessor.

Parameters:

data - Data.

parts - Number of partitions.

basePreprocessor - Base preprocessor.

Returns:

Preprocessor.

learningEnvironment

default LearningEnvironment learningEnvironment(Preprocessor<K,V> basePreprocessor)

Returns local learning environment with initialized deploying context by base preprocessor.

Parameters:

basePreprocessor - Preprocessor.

Returns:

Learning environment.