CrossValidator

Instance Constructors

new CrossValidator()

Value Members

final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def !=(arg0: Any): Boolean

Definition Classes
Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def ==(arg0: Any): Boolean

Definition Classes
Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val estimator: Param[Estimator[_]]

param for the estimator to be cross-validated
param for the estimator to be cross-validated

Definition Classes
CrossValidatorParams
val estimatorParamMaps: Param[Array[ParamMap]]

param for estimator param maps
param for estimator param maps

Definition Classes
CrossValidatorParams
val evaluator: Param[Evaluator]

param for the evaluator for selection
param for the evaluator for selection

Definition Classes
CrossValidatorParams
def explainParams(): String

Returns the documentation of all params.
Returns the documentation of all params.

Definition Classes
Params
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def fit(dataset: SchemaRDD, paramMap: ParamMap): CrossValidatorModel

Fits a single model to the input data with provided parameter map.
Fits a single model to the input data with provided parameter map.
dataset
input dataset
paramMap
parameter map
returns
fitted model

Definition Classes
CrossValidator → Estimator
def fit(dataset: JavaSchemaRDD, paramMaps: Array[ParamMap]): List[CrossValidatorModel]

Fits multiple models to the input data with multiple sets of parameters.
Fits multiple models to the input data with multiple sets of parameters.
dataset
input dataset
paramMaps
an array of parameter maps
returns
fitted models, matching the input parameter maps

Definition Classes
Estimator
def fit(dataset: JavaSchemaRDD, paramMap: ParamMap): CrossValidatorModel

Fits a single model to the input data with provided parameter map.
Fits a single model to the input data with provided parameter map.
dataset
input dataset
paramMap
parameter map
returns
fitted model

Definition Classes
Estimator
def fit(dataset: JavaSchemaRDD, paramPairs: ParamPair[_]*): CrossValidatorModel

Fits a single model to the input data with optional parameters.
Fits a single model to the input data with optional parameters.
dataset
input dataset
paramPairs
optional list of param pairs (overwrite embedded params)
returns
fitted model

Definition Classes
Estimator
Annotations
@varargs()
def fit(dataset: SchemaRDD, paramMaps: Array[ParamMap]): Seq[CrossValidatorModel]

Fits multiple models to the input data with multiple sets of parameters.
Fits multiple models to the input data with multiple sets of parameters. The default implementation uses a for loop on each parameter map. Subclasses could overwrite this to optimize multi-model training.
dataset
input dataset
paramMaps
an array of parameter maps
returns
fitted models, matching the input parameter maps

Definition Classes
Estimator
def fit(dataset: SchemaRDD, paramPairs: ParamPair[_]*): CrossValidatorModel

Fits a single model to the input data with optional parameters.
Fits a single model to the input data with optional parameters.
dataset
input dataset
paramPairs
optional list of param pairs (overwrite embedded params)
returns
fitted model

Definition Classes
Estimator
Annotations
@varargs()
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getEstimator: Estimator[_]

Definition Classes
CrossValidatorParams
def getEstimatorParamMaps: Array[ParamMap]

Definition Classes
CrossValidatorParams
def getEvaluator: Evaluator

Definition Classes
CrossValidatorParams
def getNumFolds: Int

Definition Classes
CrossValidatorParams
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def isSet(param: Param[_]): Boolean

Checks whether a param is explicitly set.
Checks whether a param is explicitly set.

Definition Classes
Params
def isTraceEnabled(): Boolean

Attributes
protected
Definition Classes
Logging
def log: Logger

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

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

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

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

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

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

Attributes
protected
Definition Classes
Logging
def logName: String

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

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

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

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

Attributes
protected
Definition Classes
Logging
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val numFolds: IntParam

param for number of folds for cross validation
param for number of folds for cross validation

Definition Classes
CrossValidatorParams
val paramMap: ParamMap

Internal param map.
Internal param map.

Attributes
protected
Definition Classes
Params
def params: Array[Param[_]]

Returns all params.
Returns all params.

Definition Classes
Params
def setEstimator(value: Estimator[_]): CrossValidator.this.type
def setEstimatorParamMaps(value: Array[ParamMap]): CrossValidator.this.type
def setEvaluator(value: Evaluator): CrossValidator.this.type
def setNumFolds(value: Int): CrossValidator.this.type
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def transformSchema(schema: StructType, paramMap: ParamMap, logging: Boolean): StructType

Derives the output schema from the input schema and parameters, optionally with logging.
Derives the output schema from the input schema and parameters, optionally with logging.

Attributes
protected
Definition Classes
PipelineStage
def validate(): Unit

Validates parameter values stored internally.
Validates parameter values stored internally. Raise an exception if any parameter value is invalid.

Definition Classes
Params
def validate(paramMap: ParamMap): Unit

Validates parameter values stored internally plus the input parameter map.
Validates parameter values stored internally plus the input parameter map. Raises an exception if any parameter is invalid.

Definition Classes
Params
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

class CrossValidator extends Estimator[CrossValidatorModel] with CrossValidatorParams with Logging

Instance Constructors

new CrossValidator()

Value Members

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val estimator: Param[Estimator[_]]

val estimatorParamMaps: Param[Array[ParamMap]]

val evaluator: Param[Evaluator]

def explainParams(): String

def finalize(): Unit

def fit(dataset: SchemaRDD, paramMap: ParamMap): CrossValidatorModel

def fit(dataset: JavaSchemaRDD, paramMaps: Array[ParamMap]): List[CrossValidatorModel]

def fit(dataset: JavaSchemaRDD, paramMap: ParamMap): CrossValidatorModel

def fit(dataset: JavaSchemaRDD, paramPairs: ParamPair[_]*): CrossValidatorModel

def fit(dataset: SchemaRDD, paramMaps: Array[ParamMap]): Seq[CrossValidatorModel]

def fit(dataset: SchemaRDD, paramPairs: ParamPair[_]*): CrossValidatorModel

final def getClass(): Class[_]

def getEstimator: Estimator[_]

def getEstimatorParamMaps: Array[ParamMap]

def getEvaluator: Evaluator

def getNumFolds: Int

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def isSet(param: Param[_]): Boolean

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

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numFolds: IntParam

val paramMap: ParamMap

def params: Array[Param[_]]

def setEstimator(value: Estimator[_]): CrossValidator.this.type

def setEstimatorParamMaps(value: Array[ParamMap]): CrossValidator.this.type

def setEvaluator(value: Evaluator): CrossValidator.this.type

def setNumFolds(value: Int): CrossValidator.this.type

final def synchronized[T0](arg0: ⇒ T0): T0

def toString(): String

def transformSchema(schema: StructType, paramMap: ParamMap, logging: Boolean): StructType

def validate(): Unit

def validate(paramMap: ParamMap): Unit

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from CrossValidatorParams

Inherited from Estimator[CrossValidatorModel]

Inherited from Params

Inherited from Identifiable

Inherited from PipelineStage

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped