Package

ai.h2o.sparkling.ml

algos

Permalink

package algos

Visibility
  1. Public
  2. All

Type Members

  1. trait H2OAlgoCommonUtils extends EstimatorCommonUtils

    Permalink
  2. abstract class H2OAlgorithm[P <: Parameters] extends Estimator[H2OMOJOModel] with H2OAlgoCommonUtils with DefaultParamsWritable with H2OAlgoCommonParams[P] with RestCommunication

    Permalink

    Base class for H2O algorithm wrapper as a Spark transformer.

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

    Permalink

    H2O AutoML algorithm exposed via Spark ML pipelines.

  4. final class H2OAutoMLSortMetric extends Enum[H2OAutoMLSortMetric]

    Permalink
  5. class H2ODRF extends H2OTreeBasedSupervisedAlgorithm[DRFParameters] with H2ODRFParams

    Permalink

    H2O DRF algorithm exposed via Spark ML pipelines.

  6. class H2ODeepLearning extends H2OSupervisedAlgorithm[DeepLearningParameters] with H2ODeepLearningParams

    Permalink

    H2O DeepLearning algorithm exposed via Spark ML pipelines.

  7. class H2OGBM extends H2OTreeBasedSupervisedAlgorithm[GBMParameters] with H2OGBMParams

    Permalink

    H2O GBM algorithm exposed via Spark ML pipelines.

  8. class H2OGLM extends H2OSupervisedAlgorithm[GLMParameters] with H2OGLMParams

    Permalink

    H2O GLM algorithm exposed via Spark ML pipelines.

  9. class H2OGridSearch extends Estimator[H2OMOJOModel] with H2OAlgoCommonUtils with DefaultParamsWritable with H2OGridSearchParams with RestCommunication with RestEncodingUtils

    Permalink

    H2O Grid Search algorithm exposed via Spark ML pipelines.

  10. class H2OKMeans extends H2OUnsupervisedAlgorithm[KMeansParameters] with H2OKMeansParams

    Permalink

    H2O KMeans algorithm exposed via Spark ML pipelines.

  11. abstract class H2OSupervisedAlgorithm[P <: Parameters] extends H2OAlgorithm[P] with H2OAlgoSupervisedParams[P]

    Permalink
  12. abstract class H2OTreeBasedSupervisedAlgorithm[P <: Parameters] extends H2OSupervisedAlgorithm[P] with H2OTreeBasedSupervisedMOJOParams

    Permalink
  13. abstract class H2OUnsupervisedAlgorithm[P <: Parameters] extends H2OAlgorithm[P] with H2OAlgoUnsupervisedParams[P]

    Permalink
  14. class H2OXGBoost extends H2OTreeBasedSupervisedAlgorithm[XGBoostParameters] with H2OXGBoostParams

    Permalink

    H2O XGBoost algorithm exposed via Spark ML pipelines.

Value Members

  1. object H2OAutoML extends H2OParamsReadable[H2OAutoML] with Serializable

    Permalink
  2. object H2ODRF extends H2OParamsReadable[H2ODRF] with Serializable

    Permalink
  3. object H2ODeepLearning extends H2OParamsReadable[H2ODeepLearning] with Serializable

    Permalink
  4. object H2OGBM extends H2OParamsReadable[H2OGBM] with Serializable

    Permalink
  5. object H2OGLM extends H2OParamsReadable[H2OGLM] with Serializable

    Permalink
  6. object H2OGridSearch extends H2OParamsReadable[H2OGridSearch] with Serializable

    Permalink
  7. object H2OKMeans extends DefaultParamsReadable[H2OKMeans] with Serializable

    Permalink
  8. object H2OXGBoost extends H2OParamsReadable[H2OXGBoost] with Serializable

    Permalink

Ungrouped