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	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.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.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.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.preprocessing.standardscaling	Contains Standard scaler preprocessor.

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.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.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.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.