algos

Type Members

1. class GBMParametersParam extends Param[GBMParameters]

   

2. abstract class H2OAlgorithm[P <: Parameters, M <: Model[M]] extends Estimator[M] with MLWritable with H2OAlgoParams[P]

   

   Base class for H2O algorithm wrapper as a Spark transformer.

3. class H2OAutoML extends Estimator[H2OMOJOModel] with MLWritable with H2OAutoMLParams

   

   H2O AutoML pipeline step

4. class H2OAutoMLAlgosParam extends Param[Array[algo]]

   

5. trait H2OAutoMLParams extends Params

   

6. class H2OAutoMLStoppingMetricParam extends Param[StoppingMetric]

   

7. class H2ODeepLearning extends H2OAlgorithm[DeepLearningParameters, H2OMOJOModel] with H2ODeepLearningParams

   

   H2O Deep learning algorithm exposed via Spark ML pipelines.

   H2O Deep learning algorithm exposed via Spark ML pipelines.

   TODO: There are still bunch of parameters defined DeepLearningParameters which need to be ported here

8. trait H2ODeepLearningParams extends H2OAlgoParams[DeepLearningParameters]

   

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

9. class H2OGBM extends H2OAlgorithm[GBMParameters, H2OMOJOModel] with H2OGBMParams

   

   H2O GBM algorithm exposed via Spark ML pipelines.

10. trait H2OGBMParams extends H2OSharedTreeParams[GBMParameters]

    

    Parameters for Spark's API exposing underlying H2O model.

11. class H2OGridSearch extends Estimator[H2OMOJOModel] with MLWritable with H2OGridSearchParams

    

    H2O Grid Search, currently available just for GBM

12. trait H2OGridSearchParams extends Params

    

13. class HyperParamsParam extends Param[Map[String, Array[AnyRef]]]

    

14. class NullableFloatArrayParam extends Param[Array[Float]]