axle.ml

LogisticRegressionModule

object LogisticRegressionModule extends LogisticRegressionModule

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LogisticRegressionModule, AnyRef, Any
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  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. def Jθ(X: matrix.JblasMatrixModule.Matrix[Double], θ: matrix.JblasMatrixModule.Matrix[Double], y: matrix.JblasMatrixModule.Matrix[Boolean]): Double

    Definition Classes
    LogisticRegressionModule

  7. final def asInstanceOf[T0]: T0

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  8. def clone(): AnyRef

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    protected[java.lang]
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    @throws()

  9. def cost(xi: matrix.JblasMatrixModule.Matrix[Double], θ: matrix.JblasMatrixModule.Matrix[Double], yi: Boolean): Double

    Definition Classes
    LogisticRegressionModule

  10. def dθ(X: matrix.JblasMatrixModule.Matrix[Double], y: matrix.JblasMatrixModule.Matrix[Boolean], θ: matrix.JblasMatrixModule.Matrix[Double]): matrix.JblasMatrixModule.Matrix[Double]

    Definition Classes
    LogisticRegressionModule

  11. final def eq(arg0: AnyRef): Boolean

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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

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  15. def gradientDescent(X: matrix.JblasMatrixModule.Matrix[Double], y: matrix.JblasMatrixModule.Matrix[Boolean], θ: matrix.JblasMatrixModule.Matrix[Double], α: Double, iterations: Int): matrix.JblasMatrixModule.Matrix[Double]

    Definition Classes
    LogisticRegressionModule

  16. def h(xi: matrix.JblasMatrixModule.Matrix[Double], θ: matrix.JblasMatrixModule.Matrix[Double]): Double

    Definition Classes
    LogisticRegressionModule

  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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  19. final def ne(arg0: AnyRef): Boolean

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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  22. def predictedY(xi: matrix.JblasMatrixModule.Matrix[Double], θ: matrix.JblasMatrixModule.Matrix[Double]): Boolean

    Definition Classes
    LogisticRegressionModule

  23. def regression[D](examples: List[D], numObservations: Int, observationExtractor: (D) ⇒ List[Double], objectiveExtractor: (D) ⇒ Boolean, α: Double, numIterations: Int): (matrix.JblasMatrixModule.Matrix[Double], FeatureNormalizerModule.LinearFeatureNormalizer)

    Definition Classes
    LogisticRegressionModule

  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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  27. final def wait(arg0: Long, arg1: Int): Unit

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  28. final def wait(arg0: Long): Unit

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Inherited from LogisticRegressionModule

Inherited from AnyRef

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