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## Uses of Class
baseCode.dataStructure.matrix.AbstractNamedDoubleMatrix

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)`
`cern.colt.matrix.DoubleMatrix1D` | `RankProp.computeRanking(AbstractNamedDoubleMatrix matrix, cern.colt.matrix.DoubleMatrix1D query, int indexOfQuery)`

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`

Methods in baseCode.gui that return AbstractNamedDoubleMatrix
`AbstractNamedDoubleMatrix` | `ColorMatrix.getMatrix()`
`AbstractNamedDoubleMatrix` | `JMatrixDisplay.getMatrix()`

Methods in baseCode.gui with parameters of type AbstractNamedDoubleMatrix
`void` | `ColorMatrix.init(AbstractNamedDoubleMatrix matrix)`

Constructors in baseCode.gui with parameters of type AbstractNamedDoubleMatrix
`ColorMatrix(AbstractNamedDoubleMatrix matrix, java.awt.Color[] colorMap, java.awt.Color missingColor)`

Uses of AbstractNamedDoubleMatrix in baseCode.math

Methods in baseCode.math with parameters of type AbstractNamedDoubleMatrix
`static DenseDoubleMatrix2DNamed` | `MatrixStats.correlationMatrix(AbstractNamedDoubleMatrix data)`
`static SparseDoubleMatrix2DNamed` | `MatrixStats.correlationMatrix(AbstractNamedDoubleMatrix data, double threshold)`
`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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