Trafo

Value Members

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. final def asInstanceOf[T0]: T0

   

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5. def backTransformMatrix(X: List[List[Double]], pca: PCA, dim: Int = 1): List[List[Double]]

   

   Transforms a list of instances from PCA to original space

   Transforms a list of instances from PCA to original space

   X

   list of instances in PCA space

   pca

   PCA object

   dim

   optional cut-off to drop dimensions with less variance

6. def backTransformVector(x: List[Double], pca: PCA, dim: Int = 1): List[Double]

   

   Transforms an instance from PCA to original space

   Transforms an instance from PCA to original space

   pca

   PCA object

   dim

   optional cut-off to drop dimensions with less variance

7. def clone(): AnyRef

   

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   protected[java.lang]

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8. def columnVectors(m: DenseMatrix[Double]): List[DenseVector[Double]]

   

   Returns a list of column vectors

9. def covarianceEigen(pca: PCA): (List[Double], List[DenseVector[Double]], DenseVector[Double])

   

   Determines eigenvalues, eigenvectors and feature centers

10. def createGrid(xMin: Double, xMax: Double, yMin: Double, yMax: Double, xSteps: Int = 100, ySteps: Int = 100): List[List[Double]]

    

11. def dropElement[T](list: List[T], indices: List[Int]): List[T]

    

    Drops elements from list by index

    Drops elements from list by index

    list

    Source list

    indices

    Indices to drop

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

    

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13. def equals(arg0: Any): Boolean

    

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14. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

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

    

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16. def getPCA(X: List[List[Double]]): PCA

    

    Performs PCA and return PCA object good introduction: http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf

    Performs PCA and return PCA object good introduction: http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf

    X

    list of instances to perform PCA on

17. def hashCode(): Int

    

    Definition Classes

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18. def iloc[T](list: List[T], indices: List[Int], result: List[T] = Nil): List[T]

    

    Picks elements from a list according to a list of indices

    Picks elements from a list according to a list of indices

    list

    Source list

    indices

    Desired indices

    result

    Optional start parameter, also needed for recursion

19. final def isInstanceOf[T0]: Boolean

    

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

    

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21. final def notify(): Unit

    

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22. final def notifyAll(): Unit

    

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23. def randomizeInstances(X: DenseMatrix[Double], y: DenseVector[Double], nInst: Int): (DenseMatrix[Double], DenseVector[Double])

    

    Samples random instances from the given data

24. def randomizeInstancesInt(X: DenseMatrix[Double], y: DenseVector[Int], nInst: Int): (DenseMatrix[Double], DenseVector[Int])

    

    Samples random instances from the given data

25. def rowVectors(m: DenseMatrix[Double]): List[DenseVector[Double]]

    

    Returns a list of row vectors

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

    

    Definition Classes

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27. def toList(v: DenseVector[Double]): List[Double]

    

28. def toMatrix(X: List[List[Double]]): DenseMatrix[Double]

    

    Transform 2D list to 2D matrix

29. def toString(): String

    

    Definition Classes

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30. def toVector(y: List[Double]): DenseVector[Double]

    

    Transform 1D list to 1D vector

31. def toVectorInt(y: List[Int]): DenseVector[Int]

    

    Transform 1D list to 1D vector of integers (breeze doesn't allow polymorphism?)

32. def transformMatrix(X: List[List[Double]], pca: PCA, dim: Int = 1): List[List[Double]]

    

    Transforms a list of instances into the reference frame of the PCA

    Transforms a list of instances into the reference frame of the PCA

    X

    list of instances

    pca

    PCA object

    dim

    optional cut-off to drop dimensions with less variance

33. def transformVector(x: List[Double], pca: PCA, dim: Int = 1): List[Double]

    

    Transforms an instance into the reference frame of the PCA

    Transforms an instance into the reference frame of the PCA

    x

    instance

    pca

    PCA object

    dim

    optional cut-off to drop dimensions with less variance

34. final def wait(): Unit

    

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    @throws( ... )

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

    

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

    

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    @throws( ... )