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| Packages that use AbstractNamedDoubleMatrix | |
| baseCode.algorithm.learning.unsupervised | |
| baseCode.dataStructure.matrix | |
| baseCode.gui | |
| baseCode.math | |
| baseCode.util | |
| Uses of AbstractNamedDoubleMatrix in baseCode.algorithm.learning.unsupervised |
| Methods in baseCode.algorithm.learning.unsupervised with parameters of type AbstractNamedDoubleMatrix | |
cern.colt.matrix.DoubleMatrix1D |
RankProp.computeRanking(AbstractNamedDoubleMatrix matrix,
AbstractNamedDoubleMatrix query,
int k)
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cern.colt.matrix.DoubleMatrix1D |
RankProp.computeRanking(AbstractNamedDoubleMatrix matrix,
cern.colt.matrix.DoubleMatrix1D query,
int indexOfQuery)
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| Uses of AbstractNamedDoubleMatrix in baseCode.dataStructure.matrix |
| Subclasses of AbstractNamedDoubleMatrix in baseCode.dataStructure.matrix | |
class |
DenseDoubleMatrix2DNamed
A matrix of doubles that knows about row and column names. |
class |
SparseDoubleMatrix2DNamed
Title: SparseDoubleMatrix2DNamed |
class |
SparseRaggedDoubleMatrix2DNamed
A sparse matrix class where the rows are ragged and compressed. |
| Uses of AbstractNamedDoubleMatrix in baseCode.gui |
| Fields in baseCode.gui declared as AbstractNamedDoubleMatrix | |
protected AbstractNamedDoubleMatrix |
ColorMatrix.m_matrix
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| Methods in baseCode.gui that return AbstractNamedDoubleMatrix | |
AbstractNamedDoubleMatrix |
ColorMatrix.getMatrix()
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AbstractNamedDoubleMatrix |
JMatrixDisplay.getMatrix()
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| Methods in baseCode.gui with parameters of type AbstractNamedDoubleMatrix | |
void |
ColorMatrix.init(AbstractNamedDoubleMatrix matrix)
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| Constructors in baseCode.gui with parameters of type AbstractNamedDoubleMatrix | |
ColorMatrix(AbstractNamedDoubleMatrix matrix,
java.awt.Color[] colorMap,
java.awt.Color missingColor)
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| Uses of AbstractNamedDoubleMatrix in baseCode.math |
| Methods in baseCode.math with parameters of type AbstractNamedDoubleMatrix | |
static DenseDoubleMatrix2DNamed |
MatrixStats.correlationMatrix(AbstractNamedDoubleMatrix data)
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static SparseDoubleMatrix2DNamed |
MatrixStats.correlationMatrix(AbstractNamedDoubleMatrix data,
double threshold)
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static double |
MatrixStats.min(AbstractNamedDoubleMatrix matrix)
Find the minimum of the entire matrix. |
static double |
MatrixStats.max(AbstractNamedDoubleMatrix matrix)
Compute the maximum value in the matrix. |
static void |
MatrixStats.rbfNormalize(AbstractNamedDoubleMatrix matrixToNormalize,
double sigma)
Normalize a matrix in place to be a transition matrix. |
static void |
MatrixStats.countsNormalize(AbstractNamedDoubleMatrix matrixToNormalize,
double sigma)
Normalize a count matrix in place to be a transition matrix. |
| Uses of AbstractNamedDoubleMatrix in baseCode.util |
| Methods in baseCode.util with parameters of type AbstractNamedDoubleMatrix | |
static boolean |
RegressionTesting.closeEnough(AbstractNamedDoubleMatrix a,
AbstractNamedDoubleMatrix b,
double tolerance)
Test whether two AbstractNamedDoubleMatrix are 'close enough' to call equal. |
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