algos

Type Members

class BackendParam extends EnumParam[Backend]
class BoosterParam extends EnumParam[Booster]
class DMatrixTypeParam extends EnumParam[DMatrixType]
class DartNormalizeTypeParam extends EnumParam[DartNormalizeType]
class DartSampleTypeParam extends EnumParam[DartSampleType]
class GridSearchStrategyParam extends EnumParam[Strategy]
class GrowPolicyParam extends EnumParam[GrowPolicy]
abstract class H2OAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OAlgoParams[P]

Base class for H2O algorithm wrapper as a Spark transformer.
trait H2OAlgorithmCommons extends H2OCommonParams

This trait contains methods that are shared across all algorithms.
class H2OAutoML extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OAutoMLParams

H2O AutoML pipeline step
class H2OAutoMLAlgosParam extends EnumArrayParam[Algo]
trait H2OAutoMLParams extends H2OCommonParams with DeprecatableParams
implicit class H2OAutoMLWithImplicits extends AnyRef
class H2ODeepLearning extends H2OAlgorithm[DeepLearning, DeepLearningModel, DeepLearningParameters] 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
trait H2ODeepLearningParams extends H2OAlgoParams[DeepLearningParameters]

Parameters here can be set as normal and are duplicated to DeepLearningParameters H2O object
implicit class H2ODeepLearningWithImplicits extends AnyRef
class H2OGBM extends H2OAlgorithm[GBM, GBMModel, GBMParameters] with H2OGBMParams

H2O GBM algorithm exposed via Spark ML pipelines.
trait H2OGBMParams extends H2OSharedTreeParams[GBMParameters]

Parameters for Spark's API exposing underlying H2O model.
implicit class H2OGBMWithImplicits extends AnyRef
class H2OGLM extends H2OAlgorithm[GLM, GLMModel, GLMParameters] with H2OGLMParams

H2O GLM algorithm exposed via Spark ML pipelines.
class H2OGLMFamilyParam extends EnumParam[Family]
class H2OGLMLinkParam extends EnumParam[Link]
class H2OGLMMissingValuesHandlingParam extends EnumParam[MissingValuesHandling]
trait H2OGLMParams extends H2OAlgoParams[GLMParameters]

Parameters for Spark's API exposing underlying H2O model.
class H2OGLMSolverParam extends EnumParam[Solver]
class H2OGLMStringPairArrayParam extends Param[Array[(String, String)]]
implicit class H2OGLMWithImplicits extends AnyRef
class H2OGridSearch extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OGridSearchParams

H2O Grid Search
final class H2OGridSearchMetric extends Enum[H2OGridSearchMetric]
trait H2OGridSearchParams extends H2OCommonParams with DeprecatableParams
implicit class H2OGridSearchWithImplicits extends AnyRef
class H2OXGBoost extends H2OAlgorithm[XGBoost, XGBoostModel, XGBoostParameters] with H2OXGBoostParams

H2O XGBoost algorithm exposed via Spark ML pipelines.
trait H2OXGBoostParams extends H2OAlgoParams[XGBoostParameters]

Parameters for Spark's API exposing underlying H2O model.
implicit class H2OXGboostWithImplicits extends AnyRef
class MetricParam extends EnumParam[H2OGridSearchMetric]
class MissingValuesHandlingParam extends EnumParam[MissingValuesHandling]
class TreeMethodParam extends EnumParam[TreeMethod]

Value Members

object H2OAutoML extends DefaultParamsReadable[py_sparkling.ml.algos.H2OAutoML] with Serializable
object H2ODeepLearning extends DefaultParamsReadable[py_sparkling.ml.algos.H2ODeepLearning] with Serializable
object H2OGBM extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGBM] with Serializable
object H2OGLM extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGLM] with Serializable
object H2OGridSearch extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGridSearch] with Serializable
object H2OXGBoost extends DefaultParamsReader[py_sparkling.ml.algos.H2OXGBoost] with Serializable
def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

Attributes
protected
Definition Classes
Logging
def initializeLogIfNecessary(isInterpreter: Boolean): Unit

Attributes
protected
Definition Classes
Logging
def isTraceEnabled(): Boolean

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protected
Definition Classes
Logging
def log: Logger

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protected
Definition Classes
Logging
def logDebug(msg: ⇒ String, throwable: Throwable): Unit

Attributes
protected
Definition Classes
Logging
def logDebug(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logError(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logError(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logInfo(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logName: String

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protected
Definition Classes
Logging
def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logTrace(msg: ⇒ String): Unit

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protected
Definition Classes
Logging
def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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protected
Definition Classes
Logging
def logWarning(msg: ⇒ String): Unit

Attributes
protected
Definition Classes
Logging

package algos

Type Members

class BackendParam extends EnumParam[Backend]

class BoosterParam extends EnumParam[Booster]

class DMatrixTypeParam extends EnumParam[DMatrixType]

class DartNormalizeTypeParam extends EnumParam[DartNormalizeType]

class DartSampleTypeParam extends EnumParam[DartSampleType]

class GridSearchStrategyParam extends EnumParam[Strategy]

class GrowPolicyParam extends EnumParam[GrowPolicy]

abstract class H2OAlgorithm[B <: H2OBaseModelBuilder, M <: H2OBaseModel, P <: Parameters] extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OAlgoParams[P]

trait H2OAlgorithmCommons extends H2OCommonParams

class H2OAutoML extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OAutoMLParams

class H2OAutoMLAlgosParam extends EnumArrayParam[Algo]

trait H2OAutoMLParams extends H2OCommonParams with DeprecatableParams

implicit class H2OAutoMLWithImplicits extends AnyRef

class H2ODeepLearning extends H2OAlgorithm[DeepLearning, DeepLearningModel, DeepLearningParameters] with H2ODeepLearningParams

trait H2ODeepLearningParams extends H2OAlgoParams[DeepLearningParameters]

implicit class H2ODeepLearningWithImplicits extends AnyRef

class H2OGBM extends H2OAlgorithm[GBM, GBMModel, GBMParameters] with H2OGBMParams

trait H2OGBMParams extends H2OSharedTreeParams[GBMParameters]

implicit class H2OGBMWithImplicits extends AnyRef

class H2OGLM extends H2OAlgorithm[GLM, GLMModel, GLMParameters] with H2OGLMParams

class H2OGLMFamilyParam extends EnumParam[Family]

class H2OGLMLinkParam extends EnumParam[Link]

class H2OGLMMissingValuesHandlingParam extends EnumParam[MissingValuesHandling]

trait H2OGLMParams extends H2OAlgoParams[GLMParameters]

class H2OGLMSolverParam extends EnumParam[Solver]

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

implicit class H2OGLMWithImplicits extends AnyRef

class H2OGridSearch extends Estimator[H2OMOJOModel] with H2OAlgorithmCommons with DefaultParamsWritable with H2OGridSearchParams

final class H2OGridSearchMetric extends Enum[H2OGridSearchMetric]

trait H2OGridSearchParams extends H2OCommonParams with DeprecatableParams

implicit class H2OGridSearchWithImplicits extends AnyRef

class H2OXGBoost extends H2OAlgorithm[XGBoost, XGBoostModel, XGBoostParameters] with H2OXGBoostParams

trait H2OXGBoostParams extends H2OAlgoParams[XGBoostParameters]

implicit class H2OXGboostWithImplicits extends AnyRef

class MetricParam extends EnumParam[H2OGridSearchMetric]

class MissingValuesHandlingParam extends EnumParam[MissingValuesHandling]

class TreeMethodParam extends EnumParam[TreeMethod]

Value Members

object H2OAutoML extends DefaultParamsReadable[py_sparkling.ml.algos.H2OAutoML] with Serializable

object H2ODeepLearning extends DefaultParamsReadable[py_sparkling.ml.algos.H2ODeepLearning] with Serializable

object H2OGBM extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGBM] with Serializable

object H2OGLM extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGLM] with Serializable

object H2OGridSearch extends DefaultParamsReadable[py_sparkling.ml.algos.H2OGridSearch] with Serializable

object H2OXGBoost extends DefaultParamsReader[py_sparkling.ml.algos.H2OXGBoost] with Serializable

def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

def initializeLogIfNecessary(isInterpreter: Boolean): Unit

def isTraceEnabled(): Boolean

def log: Logger

def logDebug(msg: ⇒ String, throwable: Throwable): Unit

def logDebug(msg: ⇒ String): Unit

def logError(msg: ⇒ String, throwable: Throwable): Unit

def logError(msg: ⇒ String): Unit

def logInfo(msg: ⇒ String, throwable: Throwable): Unit

def logInfo(msg: ⇒ String): Unit

def logName: String

def logTrace(msg: ⇒ String, throwable: Throwable): Unit

def logTrace(msg: ⇒ String): Unit

def logWarning(msg: ⇒ String, throwable: Throwable): Unit

def logWarning(msg: ⇒ String): Unit

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped