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| Package | Description |
|---|---|
| org.apache.ignite.ml.clustering.gmm |
Contains Gauss Mixture Model clustering algorithm (see
GmmModel). |
| org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
|
| org.apache.ignite.ml.composition.bagging |
Contains bootstrap aggregation (bagging) trainer allowing to combine some other trainers and
return a bagged version of them.
|
| org.apache.ignite.ml.composition.boosting |
Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.
|
| org.apache.ignite.ml.composition.boosting.convergence |
Package contains implementation of convergency checking algorithms for gradient boosting.
|
| org.apache.ignite.ml.composition.boosting.convergence.mean |
Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.median |
Contains implementation of convergence checking computer by median of medians of errors in dataset.
|
| org.apache.ignite.ml.composition.boosting.convergence.simple |
Contains implementation of Stub for convergence checking.
|
| org.apache.ignite.ml.composition.combinators.parallel |
Contains parallel combinators of trainers and models.
|
| org.apache.ignite.ml.composition.combinators.sequential |
Contains sequential combinators of trainers and models.
|
| org.apache.ignite.ml.composition.stacking |
Contains classes used for training with stacking technique.
|
| org.apache.ignite.ml.dataset |
Base package for machine learning dataset classes.
|
| org.apache.ignite.ml.dataset.impl.bootstrapping |
Base package for bootstrapped implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.impl.cache |
Base package for cache based implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.impl.cache.util |
Contains util classes used in cache based implementation of dataset.
|
| org.apache.ignite.ml.dataset.impl.local |
Base package for local implementation of machine learning dataset.
|
| org.apache.ignite.ml.dataset.primitive |
Package that contains basic primitives build on top of
Dataset. |
| org.apache.ignite.ml.dataset.primitive.builder.context |
Contains partition
context builders. |
| org.apache.ignite.ml.dataset.primitive.builder.data |
Contains partition
data builders. |
| org.apache.ignite.ml.knn |
Contains main APIs for kNN algorithms.
|
| org.apache.ignite.ml.knn.ann |
Contains main APIs for ANN classification algorithms.
|
| org.apache.ignite.ml.knn.classification |
Contains main APIs for kNN classification algorithms.
|
| org.apache.ignite.ml.knn.regression |
Contains helper classes for kNN regression algorithms.
|
| org.apache.ignite.ml.knn.utils |
Contains util functionality for kNN algorithms.
|
| org.apache.ignite.ml.math.isolve.lsqr |
Contains LSQR algorithm implementation.
|
| org.apache.ignite.ml.multiclass |
Contains various multi-classifier models and trainers.
|
| org.apache.ignite.ml.naivebayes.discrete |
Contains Bernoulli naive Bayes classifier.
|
| org.apache.ignite.ml.naivebayes.gaussian |
Contains Gaussian naive Bayes classifier.
|
| org.apache.ignite.ml.nn |
Contains neural networks and related classes.
|
| org.apache.ignite.ml.pipeline |
Contains Pipeline API.
|
| org.apache.ignite.ml.preprocessing |
Base package for machine learning preprocessing classes.
|
| org.apache.ignite.ml.preprocessing.binarization |
Contains binarization preprocessor.
|
| org.apache.ignite.ml.preprocessing.encoding |
Contains encoding preprocessors.
|
| org.apache.ignite.ml.preprocessing.imputing |
Contains Imputer preprocessor.
|
| org.apache.ignite.ml.preprocessing.maxabsscaling |
Contains Max Abs Scaler preprocessor.
|
| org.apache.ignite.ml.preprocessing.minmaxscaling |
Contains Min Max Scaler preprocessor.
|
| org.apache.ignite.ml.preprocessing.normalization |
Contains Normalizer preprocessor.
|
| org.apache.ignite.ml.preprocessing.standardscaling |
Contains Standard scaler preprocessor.
|
| org.apache.ignite.ml.recommendation |
Contains recommendation system framework.
|
| org.apache.ignite.ml.recommendation.util |
Contains util classes used in recommendation system framework.
|
| org.apache.ignite.ml.regressions.linear |
Contains various linear regressions.
|
| org.apache.ignite.ml.regressions.logistic |
Contains various logistic regressions.
|
| org.apache.ignite.ml.selection.cv |
Root package for cross-validation algorithms.
|
| org.apache.ignite.ml.sql |
Contains util classes that help to work with machine learning models in SQL and train models on data from SQL tables.
|
| org.apache.ignite.ml.structures.partition |
Contains internal APIs for dataset partitioned labeled datasets.
|
| org.apache.ignite.ml.svm |
Contains main APIs for SVM(support vector machines) algorithms.
|
| org.apache.ignite.ml.trainers |
Contains model trainers.
|
| org.apache.ignite.ml.trainers.transformers |
Various upstream transformers.
|
| org.apache.ignite.ml.tree |
Root package for decision trees.
|
| org.apache.ignite.ml.tree.boosting |
Contains implementation of gradient boosting on trees.
|
| org.apache.ignite.ml.tree.data |
Contains data and data builder required for decision tree trainers built on top of partition based dataset.
|
| org.apache.ignite.ml.tree.leaf |
Root package for decision trees leaf builders.
|
| org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
| org.apache.ignite.ml.tree.randomforest.data.impurity |
Contains implementation of impurity computers based on histograms.
|
| org.apache.ignite.ml.tree.randomforest.data.statistics |
Contains implementation of statistics computers for Random Forest.
|
| org.apache.ignite.ml.util.generators |
Contains utility classes for data streams generation.
|
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| PartitionContextBuilder
Builder that accepts a partition
upstream data and makes partition context. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| UpstreamTransformer
Interface of transformer of upstream.
|
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| PartitionContextBuilder
Builder that accepts a partition
upstream data and makes partition context. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| PartitionContextBuilder
Builder that accepts a partition
upstream data and makes partition context. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| PartitionContextBuilder
Builder that accepts a partition
upstream data and makes partition context. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| PartitionContextBuilder
Builder that accepts a partition
upstream data and makes partition context. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| UpstreamEntry
Entry of the
upstream. |
| UpstreamTransformer
Interface of transformer of upstream.
|
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| PartitionDataBuilder
Builder that accepts a partition
upstream data and partition context and makes partition
data. |
| UpstreamEntry
Entry of the
upstream. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| Class and Description |
|---|
| Dataset
A dataset providing an API that allows to perform generic computations on a distributed data represented as a set of
partitions distributed across a cluster or placed locally.
|
| Class and Description |
|---|
| DatasetBuilder
A builder constructing instances of a
Dataset. |
| UpstreamTransformerBuilder
Builder of
UpstreamTransformer. |
GridGain In-Memory Computing Platform : ver. 8.9.15 Release Date : December 3 2024