package algos

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Type Members

  1. trait DistributionBasedH2OTrainFramePreparation extends H2OTrainFramePreparation
  2. trait FamilyBasedH2OTrainFramePreparation extends H2OTrainFramePreparation
  3. trait H2OAlgoCommonUtils extends EstimatorCommonUtils with H2OFrameLifecycle
  4. abstract class H2OAlgorithm[P <: Parameters] extends Estimator[H2OMOJOModel] with H2OCommonParams with H2OAlgoCommonUtils with H2OTrainFramePreparation with DefaultParamsWritable with RestCommunication

    Base class for H2O algorithm wrapper as a Spark transformer.

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

    H2O AutoML algorithm exposed via Spark ML pipelines.

  6. class H2OCoxPH extends H2OSupervisedAlgorithm[CoxPHParameters] with H2OCoxPHParams
  7. class H2ODRF extends H2OTreeBasedSupervisedAlgorithm[DRFParameters] with H2ODRFParams with DistributionBasedH2OTrainFramePreparation
  8. class H2ODeepLearning extends H2OSupervisedAlgorithmWithFoldColumn[DeepLearningParameters] with H2ODeepLearningParams with DistributionBasedH2OTrainFramePreparation
  9. class H2OGAM extends H2OSupervisedAlgorithmWithFoldColumn[GAMParameters] with H2OGAMParams with FamilyBasedH2OTrainFramePreparation
  10. class H2OGBM extends H2OTreeBasedSupervisedAlgorithm[GBMParameters] with H2OGBMParams with DistributionBasedH2OTrainFramePreparation
  11. class H2OGLM extends H2OSupervisedAlgorithmWithFoldColumn[GLMParameters] with H2OGLMParams with FamilyBasedH2OTrainFramePreparation
  12. class H2OGridSearch extends Estimator[H2OMOJOModel] with EstimatorCommonUtils with DefaultParamsWritable with H2OGridSearchParams with RestCommunication with RestEncodingUtils

    H2O Grid Search algorithm exposed via Spark ML pipelines.

  13. class H2OIsolationForest extends H2OTreeBasedUnsupervisedAlgorithm[IsolationForestParameters] with H2OIsolationForestParams
  14. class H2OKMeans extends H2OUnsupervisedAlgorithm[KMeansParameters] with H2OKMeansParams with H2OKMeansExtras
  15. abstract class H2OSupervisedAlgorithm[P <: Parameters] extends H2OAlgorithm[P]
  16. abstract class H2OSupervisedAlgorithmWithFoldColumn[P <: Parameters] extends H2OSupervisedAlgorithm[P]
  17. trait H2OTrainFramePreparation extends AnyRef
  18. abstract class H2OTreeBasedSupervisedAlgorithm[P <: Parameters] extends H2OSupervisedAlgorithmWithFoldColumn[P]
  19. abstract class H2OTreeBasedUnsupervisedAlgorithm[P <: Parameters] extends H2OUnsupervisedAlgorithm[P]
  20. abstract class H2OUnsupervisedAlgorithm[P <: Parameters] extends H2OAlgorithm[P]
  21. class H2OXGBoost extends H2OTreeBasedSupervisedAlgorithm[XGBoostParameters] with H2OXGBoostParams with DistributionBasedH2OTrainFramePreparation

Value Members

  1. object H2OAutoML extends H2OParamsReadable[H2OAutoML] with Serializable
  2. object H2OCoxPH extends H2OParamsReadable[H2OCoxPH] with Serializable
  3. object H2ODRF extends H2OParamsReadable[H2ODRF] with Serializable
  4. object H2ODeepLearning extends H2OParamsReadable[H2ODeepLearning] with Serializable
  5. object H2OGAM extends H2OParamsReadable[H2OGAM] with Serializable
  6. object H2OGBM extends H2OParamsReadable[H2OGBM] with Serializable
  7. object H2OGLM extends H2OParamsReadable[H2OGLM] with Serializable
  8. object H2OGridSearch extends H2OParamsReadable[H2OGridSearch] with Serializable
  9. object H2OIsolationForest extends H2OParamsReadable[H2OIsolationForest] with Serializable
  10. object H2OKMeans extends H2OParamsReadable[H2OKMeans] with Serializable
  11. object H2OXGBoost extends H2OParamsReadable[H2OXGBoost] with Serializable
  12. object ProblemType extends Enumeration

Ungrouped