Ignite 8.9.23-p1

Ignite ML

Package	Description
org.apache.ignite.ml	Root ML package.
org.apache.ignite.ml.clustering	Contains clustering algorithms.
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	Contains classes for ensemble of models implementation.
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.boosting.loss	Contains loss functions for Gradient Boosting algorithms.
org.apache.ignite.ml.composition.combinators	Contains various combinators of trainers and models.
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.predictionsaggregator	Contains classes for several predictions aggregation strategies working with predictions vector from models ensemble.
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.feature	Package for helper classes over features such as ObjectHistogram or FeatureMeta.
org.apache.ignite.ml.dataset.feature.extractor	Package for upstream object vectorizations.
org.apache.ignite.ml.dataset.feature.extractor.impl	Package contains default implementations of Vectorizer.
org.apache.ignite.ml.dataset.impl	Base package for implementations of machine learning dataset.
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	Base package for partition data and context builders.
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.dataset.primitive.context	Contains implementation of partition context.
org.apache.ignite.ml.dataset.primitive.data	Contains implementation of partition data.
org.apache.ignite.ml.environment	Package contains environment utils for ML algorithms.
org.apache.ignite.ml.environment.deploy	Package contains user-defined classes deploy support tools.
org.apache.ignite.ml.environment.logging	Package contains several logging strategy realisations.
org.apache.ignite.ml.environment.parallelism	Package contains realisations of parallelism strategies for multi-thread algorithms.
org.apache.ignite.ml.genetic	Root GA package (GA Grid)
org.apache.ignite.ml.genetic.cache	Contains cache configurations for GA Grid
org.apache.ignite.ml.genetic.functions	Contains functions used for GA Grid
org.apache.ignite.ml.genetic.parameter	Contains parameters used for GA Grid
org.apache.ignite.ml.genetic.utils	Contains utils for GA Grid
org.apache.ignite.ml.inference	Root package for model inference functionality.
org.apache.ignite.ml.inference.builder	Root package for model inference builders.
org.apache.ignite.ml.inference.parser	Root package for model inference parsers.
org.apache.ignite.ml.inference.reader	Root package for model inference readers.
org.apache.ignite.ml.inference.storage	Root package for inference model storages.
org.apache.ignite.ml.inference.storage.descriptor	Root package for inference model descriptor storages.
org.apache.ignite.ml.inference.storage.model	Root package for inference model storages.
org.apache.ignite.ml.inference.storage.model.thinclient	Package contains classes for thin client operations with model storage.
org.apache.ignite.ml.inference.util	Root package for util classes used in org.apache.ignite.ml.inference package.
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.knn.utils.indices	Contains utils functionality for indices in kNN algorithms.
org.apache.ignite.ml.math	Contains main APIs for matrix/vector algebra.
org.apache.ignite.ml.math.distances	Contains main APIs for distances.
org.apache.ignite.ml.math.exceptions	Contains exceptions for distributed code algebra.
org.apache.ignite.ml.math.exceptions.knn	Contains exceptions for kNN algorithms.
org.apache.ignite.ml.math.exceptions.preprocessing	Contains exceptions for preprocessing.
org.apache.ignite.ml.math.functions	Contains serializable functions for distributed code algebra.
org.apache.ignite.ml.math.isolve	Contains iterative algorithms for solving linear systems.
org.apache.ignite.ml.math.isolve.lsqr	Contains LSQR algorithm implementation.
org.apache.ignite.ml.math.primitives	Contains classes for vector/matrix algebra.
org.apache.ignite.ml.math.primitives.matrix	Contains matrix related classes.
org.apache.ignite.ml.math.primitives.matrix.impl	Contains several matrix implementations.
org.apache.ignite.ml.math.primitives.matrix.storage	Contains several matrix storages.
org.apache.ignite.ml.math.primitives.vector	Contains vector related classes.
org.apache.ignite.ml.math.primitives.vector.impl	Contains several vector implementations.
org.apache.ignite.ml.math.primitives.vector.storage	Contains several vector storages.
org.apache.ignite.ml.math.stat	Contains utility classes for distributions.
org.apache.ignite.ml.math.util	Some math utils.
org.apache.ignite.ml.multiclass	Contains various multi-classifier models and trainers.
org.apache.ignite.ml.naivebayes	Contains various naive Bayes classifiers.
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.nn.architecture	Contains multilayer perceptron architecture classes.
org.apache.ignite.ml.nn.initializers	Contains multilayer perceptron parameters initializers.
org.apache.ignite.ml.optimization	Contains implementations of optimization algorithms and related classes.
org.apache.ignite.ml.optimization.updatecalculators	Contains update calculators.
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.developer	Contains Developer API preprocessors.
org.apache.ignite.ml.preprocessing.encoding	Contains encoding preprocessors.
org.apache.ignite.ml.preprocessing.encoding.onehotencoder	Contains one hot encoding preprocessor.
org.apache.ignite.ml.preprocessing.encoding.stringencoder	Contains string encoding preprocessor.
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	Contains various regressions.
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	Root package for dataset splitters, cross validation and search through parameters.
org.apache.ignite.ml.selection.cv	Root package for cross-validation algorithms.
org.apache.ignite.ml.selection.paramgrid	Root package for parameter grid.
org.apache.ignite.ml.selection.scoring	Root package for score calculators.
org.apache.ignite.ml.selection.scoring.cursor	Util classes used for score calculation.
org.apache.ignite.ml.selection.scoring.evaluator	Package for model evaluator classes.
org.apache.ignite.ml.selection.scoring.metric	Root package for metrics.
org.apache.ignite.ml.selection.scoring.metric.classification	Root package for classification metrics.
org.apache.ignite.ml.selection.scoring.metric.exceptions	Root package for exceptions.
org.apache.ignite.ml.selection.scoring.metric.regression	Root package for regression metrics.
org.apache.ignite.ml.selection.split	Root package for dataset splitters and cross validation.
org.apache.ignite.ml.selection.split.mapper	Root package for mappers used in dataset splitters.
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	Contains some internal utility structures.
org.apache.ignite.ml.structures.partition	Contains internal APIs for dataset partitioned labeled datasets.
org.apache.ignite.ml.structures.preprocessing	Contains internal APIs for dataset pre-processing.
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.impurity	Root package for decision tree impurity measures and calculators.
org.apache.ignite.ml.tree.impurity.gini	Contains Gini impurity measure and calculator.
org.apache.ignite.ml.tree.impurity.mse	Contains mean squared error impurity measure and calculator.
org.apache.ignite.ml.tree.impurity.util	Contains util classes used in decision tree impurity calculators.
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	Package contains helper data structures for random forest implementation.
org.apache.ignite.ml.tree.randomforest.data.impurity	Contains implementation of impurity computers based on histograms.
org.apache.ignite.ml.tree.randomforest.data.impurity.basic	Contains implementation of basic classes for impurity computers.
org.apache.ignite.ml.tree.randomforest.data.statistics	Contains implementation of statistics computers for Random Forest.
org.apache.ignite.ml.util	Contains some utils for ML module.
org.apache.ignite.ml.util.generators	Contains utility classes for data streams generation.
org.apache.ignite.ml.util.generators.primitives	Contains primitives like random scalars and random vector generators for composing own data stream generator.
org.apache.ignite.ml.util.generators.primitives.scalar	Contains generators of pseudo-random scalars in according to specific disctribution.
org.apache.ignite.ml.util.generators.primitives.vector	Contains generators of pseudo-random vectors in according to specific disctribution.
org.apache.ignite.ml.util.generators.standard	Contains classes for predefined data stream generators.
org.apache.ignite.ml.util.genetic	Contains some genetic algorithms for discrete optimization task in ML module locally.
org.apache.ignite.ml.util.plugin	Contains Ignite plugins system integration classes.