o
org.apache.spark.ml.classification
RandomForestClassifier
Companion class RandomForestClassifier
object RandomForestClassifier extends DefaultParamsReadable[RandomForestClassifier] with Serializable
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- @Since( "1.4.0" )
- Source
- RandomForestClassifier.scala
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- RandomForestClassifier
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final
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!=(arg0: Any): Boolean
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final
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isInstanceOf[T0]: Boolean
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def
load(path: String): RandomForestClassifier
Reads an ML instance from the input path, a shortcut of
read.load(path).Reads an ML instance from the input path, a shortcut of
read.load(path).- Definition Classes
- RandomForestClassifier → MLReadable
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- @Since( "2.0.0" )
- Note
Implementing classes should override this to be Java-friendly.
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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def
notifyAll(): Unit
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def
read: MLReader[RandomForestClassifier]
Returns an
MLReaderinstance for this class.Returns an
MLReaderinstance for this class.- Definition Classes
- DefaultParamsReadable → MLReadable
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final
val
supportedFeatureSubsetStrategies: Array[String]
Accessor for supported featureSubsetStrategy settings: auto, all, onethird, sqrt, log2
Accessor for supported featureSubsetStrategy settings: auto, all, onethird, sqrt, log2
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- @Since( "1.4.0" )
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final
val
supportedImpurities: Array[String]
Accessor for supported impurity settings: entropy, gini
Accessor for supported impurity settings: entropy, gini
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- @Since( "1.4.0" )
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synchronized[T0](arg0: ⇒ T0): T0
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