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EvolutionDefaults
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package params
trait
EvolutionDefaults
extends
AnyRef
Linear Supertypes
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,
Any
Known Subclasses
DecisionTreeTuner
,
Evolution
,
GBTreesTuner
,
LightGBMTuner
,
LinearRegressionTuner
,
LogisticRegressionTuner
,
MLPCTuner
,
NaiveBayesTuner
,
RandomForestTuner
,
SVMTuner
,
XGBoostTuner
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EvolutionDefaults
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final
def
!=
(
arg0:
Any
)
:
Boolean
Definition Classes
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final
def
##
()
:
Int
Definition Classes
AnyRef → Any
final
def
==
(
arg0:
Any
)
:
Boolean
Definition Classes
AnyRef → Any
def
_defaultContinuousEvolutionGeneticMixing
:
Double
def
_defaultContinuousEvolutionImprovementThreshold
:
Int
def
_defaultContinuousEvolutionMaxIterations
:
Int
def
_defaultContinuousEvolutionMutationAggressiveness
:
Int
def
_defaultContinuousEvolutionParallelism
:
Int
def
_defaultContinuousEvolutionRollingImprovementCount
:
Int
def
_defaultContinuousEvolutionStoppingScore
:
Double
def
_defaultDataReduce
:
Double
def
_defaultEarlyStoppingFlag
:
Boolean
def
_defaultEarlyStoppingScore
:
Double
def
_defaultEvolutionStrategy
:
String
def
_defaultFeature
:
String
def
_defaultFirstGenArraySeed
:
Long
def
_defaultFirstGenIndexMixingMode
:
String
def
_defaultFirstGenMode
:
String
def
_defaultFirstGenPermutations
:
Int
def
_defaultFirstGenerationGenePool
:
Int
def
_defaultFixedMutationValue
:
Int
def
_defaultGenerationalMutationStrategy
:
String
def
_defaultGeneticMBOCandidateFactor
:
Int
def
_defaultGeneticMBORegressorType
:
String
def
_defaultGeneticMixing
:
Double
def
_defaultKFold
:
Int
def
_defaultLabel
:
String
def
_defaultMutationMagnitudeMode
:
String
def
_defaultNumberOfMutationGenerations
:
Int
def
_defaultNumberOfMutationsPerGeneration
:
Int
def
_defaultNumberOfParentsToRetain
:
Int
def
_defaultOptimizationStrategy
:
String
def
_defaultParallelism
:
Int
def
_defaultSeed
:
Long
def
_defaultTrainPortion
:
Double
def
_defaultTrainSplitChronologicalColumn
:
String
def
_defaultTrainSplitChronologicalRandomPercentage
:
Double
def
_defaultTrainSplitMethod
:
String
final
val
allowableEvolutionStrategies
:
List
[
String
]
final
val
allowableGeneticMBORegressorTypes
:
List
[
String
]
final
val
allowableInitialGenerationIndexMixingModes
:
List
[
String
]
final
val
allowableInitialGenerationModes
:
List
[
String
]
final
val
allowableMutationMagnitudeMode
:
List
[
String
]
final
val
allowableMutationStrategies
:
List
[
String
]
final
val
allowableOptimizationStrategies
:
List
[
String
]
final
val
allowableTrainSplitMethod
:
List
[
String
]
final
def
asInstanceOf
[
T0
]
:
T0
Definition Classes
Any
final
val
classificationMetrics
:
List
[
String
]
def
clone
()
:
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Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
...
)
final
def
eq
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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def
equals
(
arg0:
Any
)
:
Boolean
Definition Classes
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def
finalize
()
:
Unit
Attributes
protected[
java.lang
]
Definition Classes
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Annotations
@throws
(
classOf[java.lang.Throwable]
)
final
def
getClass
()
:
Class
[_]
Definition Classes
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def
hashCode
()
:
Int
Definition Classes
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final
def
isInstanceOf
[
T0
]
:
Boolean
Definition Classes
Any
final
def
ne
(
arg0:
AnyRef
)
:
Boolean
Definition Classes
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final
def
notify
()
:
Unit
Definition Classes
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final
def
notifyAll
()
:
Unit
Definition Classes
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final
val
regressionMetrics
:
List
[
String
]
final
def
synchronized
[
T0
]
(
arg0: ⇒
T0
)
:
T0
Definition Classes
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def
toString
()
:
String
Definition Classes
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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
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@throws
(
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)
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