| Package | Description |
|---|---|
| org.apache.ignite.ml.clustering.kmeans |
Contains kMeans clustering algorithm.
|
| org.apache.ignite.ml.composition |
Contains classes for ensemble of models implementation.
|
| 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.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.math.isolve.lsqr |
Contains LSQR algorithm implementation.
|
| org.apache.ignite.ml.nn |
Contains neural networks and related classes.
|
| 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.regressions.linear |
Contains various linear regressions.
|
| org.apache.ignite.ml.regressions.logistic.binomial |
Contains binomial logistic regression.
|
| org.apache.ignite.ml.regressions.logistic.multiclass |
Contains multi-class logistic regression.
|
| 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.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.
|
| 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 |
|---|
| 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. |
| 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. |
| 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. |
| 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. |
| 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. |
| 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 |
|---|
| 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 |
|---|
| 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 |
|---|
| 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.
|
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Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019