class SVMWithSGD extends GeneralizedLinearAlgorithm[mllib.classification.SVMModel] with Serializable
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def
createModel(weights: Vector, intercept: Double): mllib.classification.SVMModel
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def
generateInitialWeights(input: RDD[LabeledPoint]): Vector
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numFeatures: Int
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numOfLinearPredictor: Int
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val
optimizer: GradientDescent
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def
run(input: RDD[LabeledPoint], initialWeights: Vector): mllib.classification.SVMModel
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def
setIntercept(addIntercept: Boolean): SVMWithSGD.this.type
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def
setValidateData(validateData: Boolean): SVMWithSGD.this.type
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var
validateData: Boolean
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val
validators: List[(RDD[LabeledPoint]) ⇒ Boolean]
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