# Uses of Package
org.apache.ignite.ml.environment

- Packages that use org.apache.ignite.ml.environment
  Package | Description
  --- | ---
  org.apache.ignite.ml.clustering.kmeans | Contains kMeans clustering algorithm.
  org.apache.ignite.ml.composition.bagging |
  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 convergence checking algorithms for gradient boosting.
  org.apache.ignite.ml.composition.boosting.convergence.simple | Contains implementation of Stub for convergence checking.
  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.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.context | Contains partition `context` builders.
  org.apache.ignite.ml.dataset.primitive.builder.data | Contains partition `data` builders.
  org.apache.ignite.ml.environment | Package contains environment utils for ML algorithms.
  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.utils | Contains util functionality for kNN algorithms.
  org.apache.ignite.ml.math.isolve.lsqr | Contains LSQR algorithm implementation.
  org.apache.ignite.ml.naivebayes.compound | Contains Compound 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.preprocessing | Base package for machine learning preprocessing classes.
  org.apache.ignite.ml.preprocessing.binarization | Contains binarization preprocessor.
  org.apache.ignite.ml.preprocessing.encoding | Contains encoding preprocessors.
  org.apache.ignite.ml.preprocessing.finalization | Contains vector finalization 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.selection.cv | Root package for cross-validation algorithms.
  org.apache.ignite.ml.sparkmodelparser | Base package for Spark model parser.
  org.apache.ignite.ml.structures.partition | Contains internal APIs for dataset partitioned labeled datasets.
  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.randomforest | Contains random forest implementation classes.
  org.apache.ignite.ml.util.genetic | Contains some genetic algorithms for discrete optimization task in ML module locally.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.clustering.kmeans
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.composition.bagging
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.composition.boosting
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.composition.boosting.convergence
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.composition.boosting.convergence.simple
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.composition.stacking
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.impl.bootstrapping
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.impl.cache
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.impl.cache.util
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.impl.local
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.primitive
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.primitive.builder.context
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.dataset.primitive.builder.data
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.environment
  Class and Description
  DefaultLearningEnvironmentBuilder Builder for `LearningEnvironment`.
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.knn
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.knn.ann
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.knn.utils
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.math.isolve.lsqr
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.naivebayes.compound
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.naivebayes.gaussian
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.nn
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.pipeline
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.binarization
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.encoding
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.finalization
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.imputing
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.maxabsscaling
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.minmaxscaling
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.normalization
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.preprocessing.standardscaling
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.recommendation
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.recommendation.util
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.selection.cv
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.sparkmodelparser
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.structures.partition
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.trainers
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.tree
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.tree.boosting
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.tree.data
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.tree.randomforest
  Class and Description
  LearningEnvironmentBuilder Builder of learning environment.

- Classes in org.apache.ignite.ml.environment used by org.apache.ignite.ml.util.genetic
  Class and Description
  LearningEnvironment Specifies a set of utility-objects helpful at runtime but optional for learning algorithm (like thread pool for parallel learning in bagging model or logger).

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Ignite Database and Caching Platform | : ver. 2.9.0
Release Date | : October 15 2020