object RandomForestRegressor extends DefaultParamsReadable[RandomForestRegressor] with Serializable
- Annotations
- @Since( "1.4.0" )
- Source
- RandomForestRegressor.scala
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- RandomForestRegressor
- Serializable
- Serializable
- DefaultParamsReadable
- MLReadable
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def
load(path: String): RandomForestRegressor
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
- RandomForestRegressor → MLReadable
- Annotations
- @Since( "2.0.0" )
- Note
Implementing classes should override this to be Java-friendly.
-
def
read: MLReader[RandomForestRegressor]
Returns an
MLReader
instance for this class.Returns an
MLReader
instance for this class.- Definition Classes
- DefaultParamsReadable → MLReadable
-
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
- Annotations
- @Since( "1.4.0" )
-
final
val
supportedImpurities: Array[String]
Accessor for supported impurity settings: variance
Accessor for supported impurity settings: variance
- Annotations
- @Since( "1.4.0" )