| 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.primitive | 
 Package that contains basic primitives build on top of  
Dataset. | 
| org.apache.ignite.ml.dataset.primitive.builder.data | 
 Contains partition  
data builders. | 
| org.apache.ignite.ml.environment.logging | 
 Package contains several logging strategy realisations. 
 | 
| 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 | 
 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.util | 
 Some math utils. 
 | 
| 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.binarization | 
 Contains binarization preprocessor. 
 | 
| 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.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.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.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.impurity | 
 Root package for decision tree impurity measures and calculators. 
 | 
| 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. 
 | 
| 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. 
 | 
| 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. | 
| 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 | 
|---|
| 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. 
 | 
                                     
                                                                                                                                                                                                                                                                            
                                                                                                                                                                                                                                                                                                                                                                 Follow @ApacheIgnite                                                                                                                                                                                                                                                                                                                                                       
                                                                                                                                                                                                                     Ignite Database and Caching Platform                                                                                                                   :                                                               ver. 2.7.2                                                                                                                                                                                                                                                                                                                                    Release Date                                                                                                                   :                                                               February 6 2019