Package | Description |
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org.apache.ignite.ml.composition |
Contains classes for ensemble of models implementation.
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org.apache.ignite.ml.composition.boosting |
Contains Gradient Boosting regression and classification abstract classes
allowing regressor type selecting in child classes.
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org.apache.ignite.ml.composition.boosting.convergence |
Package contains implementation of convergency checking algorithms for gradient boosting.
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org.apache.ignite.ml.composition.boosting.convergence.mean |
Contains implementation of convergence checking computer by mean of absolute value of errors in dataset.
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org.apache.ignite.ml.composition.boosting.convergence.median |
Contains implementation of convergence checking computer by median of medians of errors in dataset.
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org.apache.ignite.ml.composition.boosting.convergence.simple |
Contains implementation of Stub for convergence checking.
|
org.apache.ignite.ml.tree.randomforest |
Contains random forest implementation classes.
|
Class and Description |
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ModelsComposition
Model consisting of several models and prediction aggregation strategy.
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ModelsCompositionFormat
ModelsComposition representation.
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Class and Description |
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ModelsComposition
Model consisting of several models and prediction aggregation strategy.
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Class and Description |
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ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
Class and Description |
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ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
Class and Description |
---|
ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
Class and Description |
---|
ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
Class and Description |
---|
ModelsComposition
Model consisting of several models and prediction aggregation strategy.
|
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Ignite Database and Caching Platform : ver. 2.7.2 Release Date : February 6 2019