GenericConfigGenerator

Instance Constructors

new GenericConfigGenerator(predictionType: String)

Generate a configuration InstanceConfig for a given prediction type (either regressor or classifier)
Generate a configuration InstanceConfig for a given prediction type (either regressor or classifier)
predictionType
either 'regressor' or 'classifier', depending on the type of supervised ML needed for the task

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
AnyRef → Any
final val allowableCardinalilties: List[String]

Definition Classes
ConfigurationDefaults
final val allowableCategoricalFilterModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableCharacterFillStats: List[String]

Definition Classes
ConfigurationDefaults
final val allowableClassificationScoringMetrics: List[String]

Definition Classes
ConfigurationDefaults
final val allowableDateTimeConversionTypes: List[String]

Static restrictions
Static restrictions

Definition Classes
ConfigurationDefaults
final val allowableDateTimeConversions: List[String]

Definition Classes
ConfigurationDefaults
final val allowableEvolutionStrategies: List[String]

Definition Classes
ConfigurationDefaults
final val allowableFeatureImportanceCutoffTypes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableFeatureInteractionModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableGeneticMBORegressorTypes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableHyperSpaceModelTypes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableInitialGenerationIndexMixingModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableInitialGenerationModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableKMeansDistanceMeasurements: List[String]

Definition Classes
ConfigurationDefaults
final val allowableLabelBalanceModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableMlFlowLoggingModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableMutationMagnitudeMode: List[String]

Definition Classes
ConfigurationDefaults
final val allowableMutationModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableMutationStrategies: List[String]

Definition Classes
ConfigurationDefaults
final val allowableNAFillModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowableNumericFillStats: List[String]

Definition Classes
ConfigurationDefaults
final val allowableOutlierFilterBounds: List[String]

Definition Classes
ConfigurationDefaults
final val allowablePearsonFilterDirections: List[String]

Definition Classes
ConfigurationDefaults
final val allowablePearsonFilterModes: List[String]

Definition Classes
ConfigurationDefaults
final val allowablePearsonFilterStats: List[String]

Definition Classes
ConfigurationDefaults
final val allowableRegressionScoringMetrics: List[String]

Definition Classes
ConfigurationDefaults
final val allowableScalers: List[String]

Definition Classes
ConfigurationDefaults
final val allowableScoringOptimizationStrategies: List[String]

Definition Classes
ConfigurationDefaults
final val allowableTrainSplitMethods: List[String]

Definition Classes
ConfigurationDefaults
final val allowableVectorMutationMethods: List[String]

Definition Classes
ConfigurationDefaults
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
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def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getConfig: GenericConfig

Main Method accessor to return the GenericConfig current state.
Main Method accessor to return the GenericConfig current state.
returns
:GenericConfig type objects of the results of setter usage.
def getDateTimeConversionType: String

Getter
Getter
returns
Currently assigned setting for the datetime column conversion methodology.
def getDefaultConfig(modelFamily: String, predictionType: String): InstanceConfig

Definition Classes
ConfigurationDefaults
def getFeaturesCol: String

Getter
Getter
returns
Currently assigned name of the feature column for the modeling vector.
def getFieldsToIgnoreInVector: Array[String]

Getter
Getter
returns
A collection (default Empty Array) of fields that are to be ignored for the purposes of modeling.
def getLabelCol: String

Getter
Getter
returns
Currently assigned name of the label column for modeling.
def getScoringMetric: String

Getter
Getter
returns
Currently assigned setting for the metric to be used for determining quality of models for subsequent optimization generations / iterations.
def getScoringOptimizationStrategy: String

Getter
Getter
returns
Currently assigned setting for the direction of sorting for the provided scoringMetric value (either 'minimize' or 'maximize')
def hashCode(): Int

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

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

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def oneHotEncodeFlag(family: FamilyValidator): Boolean

Definition Classes
ConfigurationDefaults
def scalingFlag(family: FamilyValidator): Boolean

Definition Classes
ConfigurationDefaults
def setConfig(value: GenericConfig): GenericConfigGenerator.this.type

Setter
Setter
Aids in creating multiple instances of a Generic Config (useful for Feature Importance usages)
value
an Instance of a GenericConfig Object
def setDateTimeConversionType(value: String): GenericConfigGenerator.this.type

Setter
Setter
value
type of data to convert a datetime field to allowable values: "unix" - converts to a LongType for the number of milliseconds since Jan 1, 1970 "split" - converts the aspects of the date into representative columns -> Year, Month, Day, Hour, Minute, Second

Annotations
@throws( classOf[IllegalArgumentException] )
Exceptions thrown
IllegalArgumentException() if an invalid entry is made.
def setFeaturesCol(value: String): GenericConfigGenerator.this.type

Setter
Setter
value
name of the feature vector to be used throughout the modeling process.
def setFieldsToIgnoreInVector(value: Array[String]): GenericConfigGenerator.this.type

Setter
Setter
value
Collection (Array) of fields that will be ignored throughout modeling and will not be included in feature vector operations.
def setLabelCol(value: String): GenericConfigGenerator.this.type

Setter
Setter
value
name of the Label column for the supervised learning task
def setScoringMetric(value: String): GenericConfigGenerator.this.type

Setter
Setter
value
Metric to be used to determine the 'best of' within generations of mutation. Allowable values for regressor: List("rmse", "mse", "r2", "mae") Allowable values for classifier: List("f1", "weightedPrecision", "weightedRecall", "accuracy", "areaUnderPR", "areaUnderROC")

Annotations
@throws( classOf[IllegalArgumentException] )
Exceptions thrown
IllegalArgumentException() if an invalid entry is made.
def setScoringOptimizationStrategy(value: String): GenericConfigGenerator.this.type

Setter
Setter
value
Direction of optimization. Options:
'maximize' - will sort returned scores in descending order and take the top(n)
'minimize' - will sort returned scores in ascending order and take the top(n)

Annotations
@throws( classOf[IllegalArgumentException] )
Exceptions thrown
IllegalArgumentException if an invalid entry is made.
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

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

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

Definition Classes
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Annotations
@throws( ... )

Related Docs: object GenericConfigGenerator | package config

class GenericConfigGenerator extends ConfigurationDefaults

Instance Constructors

new GenericConfigGenerator(predictionType: String)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final val allowableCardinalilties: List[String]

final val allowableCategoricalFilterModes: List[String]

final val allowableCharacterFillStats: List[String]

final val allowableClassificationScoringMetrics: List[String]

final val allowableDateTimeConversionTypes: List[String]

final val allowableDateTimeConversions: List[String]

final val allowableEvolutionStrategies: List[String]

final val allowableFeatureImportanceCutoffTypes: List[String]

final val allowableFeatureInteractionModes: List[String]

final val allowableGeneticMBORegressorTypes: List[String]

final val allowableHyperSpaceModelTypes: List[String]

final val allowableInitialGenerationIndexMixingModes: List[String]

final val allowableInitialGenerationModes: List[String]

final val allowableKMeansDistanceMeasurements: List[String]

final val allowableLabelBalanceModes: List[String]

final val allowableMlFlowLoggingModes: List[String]

final val allowableMutationMagnitudeMode: List[String]

final val allowableMutationModes: List[String]

final val allowableMutationStrategies: List[String]

final val allowableNAFillModes: List[String]

final val allowableNumericFillStats: List[String]

final val allowableOutlierFilterBounds: List[String]

final val allowablePearsonFilterDirections: List[String]

final val allowablePearsonFilterModes: List[String]

final val allowablePearsonFilterStats: List[String]

final val allowableRegressionScoringMetrics: List[String]

final val allowableScalers: List[String]

final val allowableScoringOptimizationStrategies: List[String]

final val allowableTrainSplitMethods: List[String]

final val allowableVectorMutationMethods: List[String]

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getConfig: GenericConfig

def getDateTimeConversionType: String

def getDefaultConfig(modelFamily: String, predictionType: String): InstanceConfig

def getFeaturesCol: String

def getFieldsToIgnoreInVector: Array[String]

def getLabelCol: String

def getScoringMetric: String

def getScoringOptimizationStrategy: String

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def oneHotEncodeFlag(family: FamilyValidator): Boolean

def scalingFlag(family: FamilyValidator): Boolean

def setConfig(value: GenericConfig): GenericConfigGenerator.this.type

def setDateTimeConversionType(value: String): GenericConfigGenerator.this.type

def setFeaturesCol(value: String): GenericConfigGenerator.this.type

def setFieldsToIgnoreInVector(value: Array[String]): GenericConfigGenerator.this.type

def setLabelCol(value: String): GenericConfigGenerator.this.type

def setScoringMetric(value: String): GenericConfigGenerator.this.type

def setScoringOptimizationStrategy(value: String): GenericConfigGenerator.this.type

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from ConfigurationDefaults

Inherited from AnyRef

Inherited from Any

Ungrouped