Uses of Package
org.apache.ignite.ml.trainers

Packages that use org.apache.ignite.ml.trainers

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.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.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.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.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.pipeline	Contains Pipeline API.
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.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.randomforest	Contains random forest implementation classes.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.clustering.gmm

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.clustering.kmeans

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition

Class and Description
DatasetTrainer Interface for trainers.
FeatureLabelExtractor Class fro extracting features and vectors from upstream.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition.bagging

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition.boosting

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition.combinators.parallel

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition.combinators.sequential

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.composition.stacking

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.dataset.feature.extractor

Class and Description
FeatureLabelExtractor Class fro extracting features and vectors from upstream.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.dataset.feature.extractor.impl

Class and Description
FeatureLabelExtractor Class fro extracting features and vectors from upstream.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.knn

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.knn.ann

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.knn.classification

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.knn.regression

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.multiclass

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.naivebayes.discrete

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.naivebayes.gaussian

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.nn

Class and Description
DatasetTrainer Interface for trainers.
MultiLabelDatasetTrainer Interface for trainers that trains on dataset with multiple label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.pipeline

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.regressions.linear

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.regressions.logistic

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.selection.cv

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.svm

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.trainers

Class and Description
AdaptableDatasetModel Model which is composition of form before `andThen` inner Mdl `andThen` after.
AdaptableDatasetTrainer Type used to adapt input and output types of wrapped DatasetTrainer.
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.tree

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.tree.boosting

Class and Description
DatasetTrainer Interface for trainers.

Classes in org.apache.ignite.ml.trainers used by org.apache.ignite.ml.tree.randomforest

Class and Description
DatasetTrainer Interface for trainers.
SingleLabelDatasetTrainer Interface for trainers that trains on dataset with singe label per object.