object RandomForestRegressor extends DefaultParamsReadable[RandomForestRegressor] with Serializable
- Annotations
- @Since("1.4.0")
- Source
- RandomForestRegressor.scala
Linear Supertypes
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Inherited
- RandomForestRegressor
- Serializable
- DefaultParamsReadable
- MLReadable
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Visibility
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- Protected
Value Members
- 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
MLReaderinstance for this class.Returns an
MLReaderinstance 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")