org.apache.ignite.ml.dataset.impl.cache

## Class CacheBasedDatasetBuilder<K,V>

- java.lang.Object
- - org.apache.ignite.ml.dataset.impl.cache.CacheBasedDatasetBuilder<K,V>

- Type Parameters:
    `K` - Type of a key in `upstream` data.
    `V` - Type of a value in `upstream` data.
  All Implemented Interfaces:
    DatasetBuilder<K,V>
  Direct Known Subclasses:
    SqlDatasetBuilder

      public class CacheBasedDatasetBuilder<K,V>
      extends Object
      implements DatasetBuilder<K,V>

  A dataset builder that makes `CacheBasedDataset`. Encapsulate logic of building cache based dataset such as allocation required data structures and initialization of `context` part of partitions.

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `static int` | `DEFAULT_NUMBER_OF_RETRIES` Default number of retries for the case when one of partitions not found on the node where loading is performed.

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache)` Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset` with default predicate that passes all upstream entries to dataset.
    `CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter)` Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.
    `CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder transformerBuilder)` Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.
    `CacheBasedDatasetBuilder(Ignite ignite, IgniteCache<K,V> upstreamCache, IgniteBiPredicate<K,V> filter, UpstreamTransformerBuilder transformerBuilder, Boolean isKeepBinary, int retries)` Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `<C extends Serializable,D extends AutoCloseable> CacheBasedDataset<K,V,C,D>` | `build(LearningEnvironmentBuilder envBuilder, PartitionContextBuilder<K,V,C> partCtxBuilder, PartitionDataBuilder<K,V,C,D> partDataBuilder, LearningEnvironment localLearningEnv)` Constructs a new instance of `Dataset` that includes allocation required data structures and initialization of `context` part of partitions.
    `IgniteCache<K,V>` | `getUpstreamCache()` Returns upstream cache.
    `DatasetBuilder<K,V>` | `withFilter(IgniteBiPredicate<K,V> filterToAdd)` Returns new instance of DatasetBuilder using conjunction of internal filter and `filterToAdd`.
    `CacheBasedDatasetBuilder<K,V>` | `withKeepBinary(boolean isKeepBinary)` Add keepBinary policy.
    `CacheBasedDatasetBuilder<K,V>` | `withRetriesNumber(int retries)` Sets number of retries. 15 * 60 by default.
    `DatasetBuilder<K,V>` | `withUpstreamTransformer(UpstreamTransformerBuilder builder)` Returns new instance of `DatasetBuilder` with new `UpstreamTransformerBuilder` added to chain of upstream transformer builders.

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Field Detail

    - #### DEFAULT_NUMBER_OF_RETRIES

          public static final int DEFAULT_NUMBER_OF_RETRIES

      Default number of retries for the case when one of partitions not found on the node where loading is performed.
      See Also:
        Constant Field Values

  - ### Constructor Detail

    - #### CacheBasedDatasetBuilder

          public CacheBasedDatasetBuilder(Ignite ignite,
                                          IgniteCache<K,V> upstreamCache)

      Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset` with default predicate that passes all upstream entries to dataset.
      Parameters:
        `ignite` - Ignite instance.
        `upstreamCache` - Ignite Cache with `upstream` data.

    - #### CacheBasedDatasetBuilder

          public CacheBasedDatasetBuilder(Ignite ignite,
                                          IgniteCache<K,V> upstreamCache,
                                          IgniteBiPredicate<K,V> filter)

      Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.
      Parameters:
        `ignite` - Ignite instance.
        `upstreamCache` - Ignite Cache with `upstream` data.
        `filter` - Filter for `upstream` data.

    - #### CacheBasedDatasetBuilder

          public CacheBasedDatasetBuilder(Ignite ignite,
                                          IgniteCache<K,V> upstreamCache,
                                          IgniteBiPredicate<K,V> filter,
                                          UpstreamTransformerBuilder transformerBuilder)

      Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.
      Parameters:
        `ignite` - Ignite instance.
        `upstreamCache` - Ignite Cache with `upstream` data.
        `filter` - Filter for `upstream` data.

    - #### CacheBasedDatasetBuilder

          public CacheBasedDatasetBuilder(Ignite ignite,
                                          IgniteCache<K,V> upstreamCache,
                                          IgniteBiPredicate<K,V> filter,
                                          UpstreamTransformerBuilder transformerBuilder,
                                          Boolean isKeepBinary,
                                          int retries)

      Constructs a new instance of cache based dataset builder that makes `CacheBasedDataset`.
      Parameters:
        `ignite` - Ignite.
        `upstreamCache` - Upstream cache.
        `filter` - Filter.
        `transformerBuilder` - Transformer builder.
        `isKeepBinary` - Is keep binary for upstream cache.
        `retries` - Number of retries for the case when one of partitions not found on the node where loading is performed.

  - ### Method Detail

    - #### build

          public <C extends Serializable,D extends AutoCloseable> CacheBasedDataset<K,V,C,D> build(LearningEnvironmentBuilder envBuilder,
                                                                                                   PartitionContextBuilder<K,V,C> partCtxBuilder,
                                                                                                   PartitionDataBuilder<K,V,C,D> partDataBuilder,
                                                                                                   LearningEnvironment localLearningEnv)

      Constructs a new instance of `Dataset` that includes allocation required data structures and initialization of `context` part of partitions.
      Specified by:
        `build` in interface `DatasetBuilder<K,V>`
      Type Parameters:
        `C` - Type of a partition `context`.
        `D` - Type of a partition `data`.
      Parameters:
        `envBuilder` - Learning environment builder.
        `partCtxBuilder` - Partition `context` builder.
        `partDataBuilder` - Partition `data` builder.
        `localLearningEnv` - Local learning environment.
      Returns:
        Dataset.

    - #### withUpstreamTransformer

          public DatasetBuilder<K,V> withUpstreamTransformer(UpstreamTransformerBuilder builder)

      Returns new instance of `DatasetBuilder` with new `UpstreamTransformerBuilder` added to chain of upstream transformer builders. When needed, each builder in chain first transformed into `UpstreamTransformer`, those are in turn composed together one after another forming final `UpstreamTransformer`. This transformer is applied to upstream data before it is passed to `PartitionDataBuilder` and `PartitionContextBuilder`. This is needed to allow transformation to upstream data which are agnostic of any changes that happen after. Such transformations may be used for deriving meta-algorithms such as bagging (see `BaggingUpstreamTransformer`).
      Specified by:
        `withUpstreamTransformer` in interface `DatasetBuilder<K,V>`
      Returns:
        Returns new instance of `DatasetBuilder` with new `UpstreamTransformerBuilder` added to chain of upstream transformer builders.

    - #### withFilter

          public DatasetBuilder<K,V> withFilter(IgniteBiPredicate<K,V> filterToAdd)

      Returns new instance of DatasetBuilder using conjunction of internal filter and `filterToAdd`.
      Specified by:
        `withFilter` in interface `DatasetBuilder<K,V>`
      Parameters:
        `filterToAdd` - Additional filter.

    - #### withKeepBinary

          public CacheBasedDatasetBuilder<K,V> withKeepBinary(boolean isKeepBinary)

      Add keepBinary policy. False by default.
      Parameters:
        `isKeepBinary` - Is keep binary.

    - #### withRetriesNumber

          public CacheBasedDatasetBuilder<K,V> withRetriesNumber(int retries)

      Sets number of retries. 15 * 60 by default.
      Parameters:
        `retries` - Number of retries.
      Returns:
        CacheBasedDatasetBuilder instance.

    - #### getUpstreamCache

          public IgniteCache<K,V> getUpstreamCache()

      Returns upstream cache.
      Returns:
        Upstream cache.

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Ignite Database and Caching Platform | : ver. 2.13.0
Release Date | : April 20 2022