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

- Packages that use org.apache.ignite.ml.environment.deploy
  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 |
  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.dataset.feature.extractor.impl | Package contains default implementations of `Vectorizer`.
  org.apache.ignite.ml.dataset.impl.cache.util | Contains util classes used in cache based implementation of dataset.
  org.apache.ignite.ml.environment | Package contains environment utils for ML algorithms.
  org.apache.ignite.ml.environment.deploy | Package contains user-defined classes deploy support tools.
  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.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.pipeline | Contains Pipeline API.
  org.apache.ignite.ml.preprocessing.binarization | Contains binarization preprocessor.
  org.apache.ignite.ml.preprocessing.developer | Contains Developer API preprocessors.
  org.apache.ignite.ml.preprocessing.encoding.label | Contains label encoding 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.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.tree.randomforest | Contains random forest implementation classes.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.clustering.gmm
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.clustering.kmeans
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.composition
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.composition.bagging
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.composition.boosting
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.dataset.feature.extractor.impl
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.dataset.impl.cache.util
  Class and Description
  DeployingContext Class represents user's class loading environment for specific remote job.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.environment
  Class and Description
  DeployingContext Class represents user's class loading environment for specific remote job.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.environment.deploy
  Class and Description
  DeployingContext Class represents user's class loading environment for specific remote job.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.knn
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.knn.ann
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.naivebayes.compound
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.naivebayes.discrete
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.naivebayes.gaussian
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.pipeline
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.binarization
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.developer
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.encoding.label
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.encoding.onehotencoder
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.encoding.stringencoder
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.finalization
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.imputing
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.maxabsscaling
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.minmaxscaling
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.normalization
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.preprocessing.standardscaling
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

- Classes in org.apache.ignite.ml.environment.deploy used by org.apache.ignite.ml.tree.randomforest
  Class and Description
  DeployableObject Represents an final objects from Ignite ML library like models or preprocessors having dependencies that can be custom objects from client side.

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Ignite Database and Caching Platform | : ver. 2.10.0
Release Date | : March 10 2021