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| Package | Description |
|---|---|
| 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.simple |
Contains implementation of Stub for convergence checking.
|
| 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.environment |
Package contains environment utils for ML algorithms.
|
| 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.utils |
Contains util functionality for kNN algorithms.
|
| org.apache.ignite.ml.math.isolve.lsqr |
Contains LSQR algorithm implementation.
|
| 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.selection.cv |
Root package for cross-validation algorithms.
|
| org.apache.ignite.ml.structures.partition |
Contains internal APIs for dataset partitioned labeled datasets.
|
| 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.randomforest |
Contains random forest implementation classes.
|
| org.apache.ignite.ml.util.genetic |
Contains some genetic algorithms for discrete optimization task in ML module locally.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| DefaultLearningEnvironmentBuilder
Builder for
LearningEnvironment. |
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
| Class and Description |
|---|
| LearningEnvironmentBuilder
Builder of learning environment.
|
| Class and Description |
|---|
| LearningEnvironment
Specifies a set of utility-objects helpful at runtime but optional for learning algorithm
(like thread pool for parallel learning in bagging model or logger).
|
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024