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. 8.9.14 Release Date : November 5 2024