Package | Description |
---|---|
org.apache.ignite.ml.dataset |
Base package for machine learning dataset classes.
|
Modifier and Type | Method and Description |
---|---|
static <K,V> SimpleDataset<EmptyContext> |
DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of distributed
SimpleDataset using the specified featureExtractor . |
static <K,V,C extends Serializable> |
DatasetFactory.createSimpleDataset(DatasetBuilder<K,V> datasetBuilder,
PartitionContextBuilder<K,V,C> partCtxBuilder,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of distributed
SimpleDataset using the specified partCtxBuilder and
featureExtractor . |
static <K,V> SimpleDataset<EmptyContext> |
DatasetFactory.createSimpleDataset(Ignite ignite,
IgniteCache<K,V> upstreamCache,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of distributed
SimpleDataset using the specified featureExtractor . |
static <K,V,C extends Serializable> |
DatasetFactory.createSimpleDataset(Ignite ignite,
IgniteCache<K,V> upstreamCache,
PartitionContextBuilder<K,V,C> partCtxBuilder,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of distributed
SimpleDataset using the specified partCtxBuilder and
featureExtractor . |
static <K,V> SimpleDataset<EmptyContext> |
DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap,
int partitions,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of local
SimpleDataset using the specified featureExtractor . |
static <K,V,C extends Serializable> |
DatasetFactory.createSimpleDataset(Map<K,V> upstreamMap,
int partitions,
PartitionContextBuilder<K,V,C> partCtxBuilder,
IgniteBiFunction<K,V,Vector> featureExtractor)
Creates a new instance of local
SimpleDataset using the specified partCtxBuilder and
featureExtractor . |
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Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019