Uses of Class
weka.classifiers.functions.pace.IntVector

Packages that use IntVector

weka.classifiers.functions.pace

Uses of IntVector in weka.classifiers.functions.pace

Methods in weka.classifiers.functions.pace that return IntVector

IntVector	DoubleVector.sortWithIndex() Sorts the array in place with index returned
static IntVector	IntVector.seq(int i0, int i1) Generates an IntVector that stores all integers inclusively between two integers.
IntVector	IntVector.copy() Makes a deep copy of the vector
IntVector	IntVector.subvector(int i0, int i1) Returns a subvector.
IntVector	IntVector.subvector(IntVector index) Returns a subvector as indexed by an IntVector.

Methods in weka.classifiers.functions.pace with parameters of type IntVector

void	DoubleVector.sortWithIndex(int xi, int xj, IntVector index) Sorts the array in place with index changed
DoubleVector	DoubleVector.subvector(IntVector index) Returns a subvector.
DoubleVector	DoubleVector.unpivoting(IntVector index, int length) Returns a vector from the pivoting indices.
void	IntVector.set(int i0, int i1, IntVector v, int j0) Sets the values of elements from another IntVector.
void	IntVector.set(IntVector v) Sets the values of elements from another IntVector.
IntVector	IntVector.subvector(IntVector index) Returns a subvector as indexed by an IntVector.
void	PaceMatrix.forward(PaceMatrix b, IntVector pvt, int k0) Forward ordering of columns in terms of response explanation.
int	PaceMatrix.mostExplainingColumn(PaceMatrix b, IntVector pvt, int ks) Returns the index of the column that has the largest (squared) response, when each of columns pvt[ks:] is moved to become the ks-th column.
void	PaceMatrix.backward(PaceMatrix b, IntVector pvt, int ks, int k0) Backward ordering of columns in terms of response explanation.
int	PaceMatrix.leastExplainingColumn(PaceMatrix b, IntVector pvt, int ks, int k0) Returns the index of the column that has the smallest (squared) response, when the column is moved to become the (ks-1)-th column.
double	PaceMatrix.columnResponseExplanation(PaceMatrix b, IntVector pvt, int j, int ks) Returns the squared ks-th response value if the j-th column becomes the ks-th after orthogonal transformation.
void	PaceMatrix.lsqr(PaceMatrix b, IntVector pvt, int k0) QR transformation for a least squares problem A x = b
void	PaceMatrix.lsqrSelection(PaceMatrix b, IntVector pvt, int k0) QR transformation for a least squares problem A x = b
void	PaceMatrix.positiveDiagonal(PaceMatrix Y, IntVector pvt) Sets all diagonal elements to be positive (or nonnegative) without changing the least squares solution
void	PaceMatrix.steplsqr(PaceMatrix b, IntVector pvt, int ks, int j, boolean adjoin) Stepwise least squares QR-decomposition of the problem A x = b
void	PaceMatrix.rsolve(PaceMatrix b, IntVector pvt, int kp) Solves upper-triangular equation R x = b
DoubleVector	PaceMatrix.nnls(PaceMatrix b, IntVector pvt) Solves the nonnegative linear squares problem.
DoubleVector	PaceMatrix.nnlse(PaceMatrix b, PaceMatrix c, PaceMatrix d, IntVector pvt) Solves the nonnegative least squares problem with equality constraint.
DoubleVector	PaceMatrix.nnlse1(PaceMatrix b, IntVector pvt) Solves the nonnegative least squares problem with equality constraint.