Package | Description |
---|---|
weka.classifiers.evaluation | |
weka.core |
Modifier and Type | Class and Description |
---|---|
class |
ConfusionMatrix
Cells of this matrix correspond to counts of the number (or weight)
of predictions for each actual value / predicted value combination.
|
Modifier and Type | Method and Description |
---|---|
Matrix |
Matrix.add(Matrix other)
Deprecated.
Returns the sum of this matrix with another.
|
Matrix |
Matrix.getL()
Deprecated.
Returns the L part of the matrix.
|
Matrix |
Matrix.getU()
Deprecated.
Returns the U part of the matrix.
|
Matrix |
Matrix.multiply(Matrix b)
Deprecated.
Returns the multiplication of two matrices
|
static Matrix |
Matrix.parseMatlab(String matlab)
Deprecated.
creates a matrix from the given Matlab string.
|
Matrix |
Matrix.transpose()
Deprecated.
Returns the transpose of a matrix.
|
Modifier and Type | Method and Description |
---|---|
Matrix |
Matrix.add(Matrix other)
Deprecated.
Returns the sum of this matrix with another.
|
Matrix |
Matrix.multiply(Matrix b)
Deprecated.
Returns the multiplication of two matrices
|
double[] |
Matrix.regression(Matrix y,
double ridge)
Deprecated.
Performs a (ridged) linear regression.
|
double[] |
Matrix.regression(Matrix y,
double[] w,
double ridge)
Deprecated.
Performs a weighted (ridged) linear regression.
|
static double[] |
Optimization.solveTriangle(Matrix t,
double[] b,
boolean isLower,
boolean[] isZero)
Solve the linear equation of TX=B where T is a triangle matrix
It can be solved using back/forward substitution, with O(N^2)
complexity
|
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