K - Type of a key in upstream data.V - Type of a value in upstream data.public interface PreprocessingTrainer<K,V>
| 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 <K,V> LearningEnvironment |
learningEnvironment(Preprocessor<K,V> basePreprocessor)
Returns local learning environment with initialized deploying context by base preptocessor.
|
Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder, DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> basePreprocessor)
envBuilder - Learning environment builder.datasetBuilder - Dataset builder.basePreprocessor - Base preprocessor.default Preprocessor<K,V> fit(DatasetBuilder<K,V> datasetBuilder, Preprocessor<K,V> basePreprocessor)
datasetBuilder - Dataset builder.basePreprocessor - Base preprocessor.default Preprocessor<K,V> fit(Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor)
ignite - Ignite instance.cache - Ignite cache.basePreprocessor - Base preprocessor.default Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder, Ignite ignite, IgniteCache<K,V> cache, Preprocessor<K,V> basePreprocessor)
envBuilder - Learning environment builder.ignite - Ignite instance.cache - Ignite cache.basePreprocessor - Base preprocessor.default Preprocessor<K,V> fit(LearningEnvironmentBuilder envBuilder, Map<K,V> data, int parts, Preprocessor<K,V> basePreprocessor)
data - Data.parts - Number of partitions.basePreprocessor - Base preprocessor.default Preprocessor<K,V> fit(Map<K,V> data, int parts, Preprocessor<K,V> basePreprocessor)
data - Data.parts - Number of partitions.basePreprocessor - Base preprocessor.default <K,V> LearningEnvironment learningEnvironment(Preprocessor<K,V> basePreprocessor)
K - Type of key.V - Type of value.basePreprocessor - Preprocessor.
GridGain In-Memory Computing Platform : ver. 8.9.26 Release Date : October 16 2025