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

- Packages that use org.apache.ignite.ml.inference
  Package | Description
  --- | ---
  org.apache.ignite.ml | Root ML package.
  org.apache.ignite.ml.catboost | Base package for XGBoost model parser, correspondent DTOs and util classes.
  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.h2o | Base package for H2O MOJO model parser.
  org.apache.ignite.ml.inference | Root package for model inference functionality.
  org.apache.ignite.ml.inference.builder | Root package for model inference builders.
  org.apache.ignite.ml.inference.parser | Root package for model inference parsers.
  org.apache.ignite.ml.inference.storage.descriptor | Root package for inference model descriptor storages.
  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 | Contains various naive Bayes classifiers.
  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.optimization | Contains implementations of optimization algorithms and related classes.
  org.apache.ignite.ml.pipeline | Contains Pipeline API.
  org.apache.ignite.ml.recommendation | Contains recommendation system framework.
  org.apache.ignite.ml.regressions.linear | Contains various linear regressions.
  org.apache.ignite.ml.regressions.logistic | Contains various logistic regressions.
  org.apache.ignite.ml.sparkmodelparser | Base package for Spark model parser.
  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.randomforest | Contains random forest implementation classes.
  org.apache.ignite.ml.tree.randomforest.data | Package contains helper data structures for random forest implementation.
  org.apache.ignite.ml.xgboost | Base package for XGBoost model parser, correspondent DTOs and util classes.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.catboost
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.clustering.gmm
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.clustering.kmeans
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition.bagging
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition.boosting
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition.combinators.parallel
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition.combinators.sequential
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.composition.stacking
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.h2o
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.inference
  Class and Description
  Model Inference model that can be used to make predictions.
  ModelSignature Signature that defines input/output types in Protobuf.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.inference.builder
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.inference.parser
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.inference.storage.descriptor
  Class and Description
  ModelDescriptor Model descriptor that encapsulates information about model, `ModelReader` and `ModelParser` which is required to build the model.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.knn
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.knn.ann
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.knn.classification
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.knn.regression
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.multiclass
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.naivebayes
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.naivebayes.compound
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.naivebayes.discrete
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.naivebayes.gaussian
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.nn
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.optimization
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.pipeline
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.recommendation
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.regressions.linear
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.regressions.logistic
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.sparkmodelparser
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.svm
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.trainers
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.tree
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.tree.randomforest
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.tree.randomforest.data
  Class and Description
  Model Inference model that can be used to make predictions.

- Classes in org.apache.ignite.ml.inference used by org.apache.ignite.ml.xgboost
  Class and Description
  Model Inference model that can be used to make predictions.

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