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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 |
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.stacking |
Contains classes used for training with stacking technique.
|
| 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.bootstrapping |
Base package for bootstrapped implementation of machine learning dataset.
|
| org.apache.ignite.ml.environment.logging |
Package contains several logging strategy realisations.
|
| org.apache.ignite.ml.inference |
Root package for model inference functionality.
|
| 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.functions |
Contains serializable functions for distributed code 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.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.mleap |
Base package for Mleap model parser.
|
| 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.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.imputing |
Contains Imputer 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.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.structures |
Contains some internal utility structures.
|
| 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.impurity |
Root package for decision tree impurity measures and calculators.
|
| org.apache.ignite.ml.tree.randomforest.data |
Package contains helper data structures for random forest implementation.
|
| 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.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.xgboost |
Base package for XGBoost model parser, correspondent DTOs and util classes.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| NamedVector
A named vector interface based on
Vector. |
| Vector
A vector interface.
|
| Vector.Element
Holder for vector's element.
|
| VectorStorage
Data storage support for
Vector. |
| Class and Description |
|---|
| AbstractVector
This class provides a helper implementation of the
Vector
interface to minimize the effort required to implement it. |
| NamedVector
A named vector interface based on
Vector. |
| Vector
A vector interface.
|
| Vector.Element
Holder for vector's element.
|
| VectorStorage
Data storage support for
Vector. |
| Class and Description |
|---|
| VectorStorage
Data storage support for
Vector. |
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| NamedVector
A named vector interface based on
Vector. |
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| Vector
A vector interface.
|
| Class and Description |
|---|
| NamedVector
A named vector interface based on
Vector. |
GridGain In-Memory Computing Platform : ver. 8.9.14 Release Date : November 5 2024