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org.apache.flink.ml.regression

MultipleLinearRegression

Related Docs: class MultipleLinearRegression | package regression

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object MultipleLinearRegression

Linear Supertypes
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. object ConvergenceThreshold extends Parameter[Double] with Product with Serializable

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  5. object Iterations extends Parameter[Int] with Product with Serializable

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  6. object LearningRateMethodValue extends Parameter[LearningRateMethodTrait] with Product with Serializable

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  7. object Stepsize extends Parameter[Double] with Product with Serializable

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  8. val WEIGHTVECTOR_BROADCAST: String

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  9. def apply(): MultipleLinearRegression

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  10. final def asInstanceOf[T0]: T0

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  11. def clone(): AnyRef

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  15. implicit val fitMLR: FitOperation[MultipleLinearRegression, LabeledVector]

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    Trains the linear model to fit the training data.

    Trains the linear model to fit the training data. The resulting weight vector is stored in the MultipleLinearRegression instance.

  16. final def getClass(): Class[_]

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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  19. val lossFunction: GenericLossFunction

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. implicit def predictVectors[T <: Vector]: PredictOperation[MultipleLinearRegression, WeightVector, T, Double]

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  24. final def synchronized[T0](arg0: ⇒ T0): T0

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  25. def toString(): String

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  26. final def wait(): Unit

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