algos

Type Members

1. trait H2OAlgoCommonUtils extends H2OCommonParams

   

2. abstract class H2OAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends Estimator[H2OMOJOModel] with H2OAlgoCommonUtils with DefaultParamsWritable with H2OAlgoCommonParams[P]

   

   Base class for H2O algorithm wrapper as a Spark transformer.

3. class H2OAutoML extends Estimator[H2OMOJOModel] with H2OAlgoCommonUtils with DefaultParamsWritable with H2OAutoMLParams

   

   H2O AutoML algorithm exposed via Spark ML pipelines.

4. trait H2OAutoMLParams extends H2OCommonSupervisedParams with HasMonotoneConstraints

   

5. final class H2OAutoMLSortMetric extends Enum[H2OAutoMLSortMetric]

   

6. class H2ODRF extends H2OTreeBasedSupervisedAlgorithm[DRF, DRFModel, DRFParameters] with H2ODRFParams

   

   H2O DRF algorithm exposed via Spark ML pipelines.

7. class H2ODeepLearning extends H2OSupervisedAlgorithm[DeepLearning, DeepLearningModel, DeepLearningParameters] with H2ODeepLearningParams

   

   H2O DeepLearning algorithm exposed via Spark ML pipelines.

8. trait H2ODeepLearningParams extends H2OAlgoSupervisedParams[DeepLearningParameters] with HasStoppingCriteria[DeepLearningParameters] with HasQuantileAlpha

   

   Parameters here can be set as normal and are duplicated to DeepLearningParameters H2O object

9. class H2OGBM extends H2OTreeBasedSupervisedAlgorithm[GBM, GBMModel, GBMParameters] with H2OGBMParams

   

   H2O GBM algorithm exposed via Spark ML pipelines.

10. trait H2OGBMParams extends H2OAlgoSharedTreeParams[GBMParameters] with HasMonotoneConstraints with HasQuantileAlpha

    

    Parameters for Spark's API exposing underlying H2O model.

11. class H2OGLM extends H2OSupervisedAlgorithm[GLM, GLMModel, GLMParameters] with H2OGLMParams

    

    H2O GLM algorithm exposed via Spark ML pipelines.

12. trait H2OGLMParams extends H2OAlgoSupervisedParams[GLMParameters] with DeprecatableParams

    

    Parameters for Spark's API exposing underlying H2O model.

13. class H2OGLMStringPairArrayParam extends Param[Array[(String, String)]]

    

14. class H2OGridSearch extends Estimator[H2OMOJOModel] with H2OAlgoCommonUtils with DefaultParamsWritable with H2OGridSearchParams

    

    H2O Grid Search algorithm exposed via Spark ML pipelines.

15. final class H2OGridSearchMetric extends Enum[H2OGridSearchMetric]

    

16. trait H2OGridSearchParams extends H2OCommonSupervisedParams

    

17. class H2OKMeans extends H2OUnsupervisedAlgorithm[KMeans, KMeansModel, KMeansParameters] with H2OKMeansParams

    

    H2O KMeans algorithm exposed via Spark ML pipelines.

18. trait H2OKMeansParams extends H2OAlgoUnsupervisedParams[KMeansParameters]

    

    Parameters for Spark's API exposing underlying H2O model.

19. abstract class H2OSupervisedAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends H2OAlgorithm[B, M, P] with H2OAlgoSupervisedParams[P]

    

20. abstract class H2OTreeBasedSupervisedAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends H2OSupervisedAlgorithm[B, M, P] with H2OTreeBasedSupervisedMOJOParams

    

21. abstract class H2OUnsupervisedAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends H2OAlgorithm[B, M, P] with H2OAlgoUnsupervisedParams[P]

    

22. class H2OXGBoost extends H2OTreeBasedSupervisedAlgorithm[XGBoost, XGBoostModel, XGBoostParameters] with H2OXGBoostParams

    

    H2O XGBoost algorithm exposed via Spark ML pipelines.

23. trait H2OXGBoostParams extends H2OAlgoSupervisedParams[XGBoostParameters] with H2OTreeBasedSupervisedMOJOParams with HasMonotoneConstraints with HasStoppingCriteria[XGBoostParameters] with DeprecatableParams

    

    Parameters for Spark's API exposing underlying H2O model.