# 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 combiners (ensembles) 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.compound | Contains Compound naive Bayes classifier.
  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.compound
  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.

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Ignite Database and Caching Platform | : ver. 2.13.0
Release Date | : April 20 2022