mvpa2.measures.nnsearchlight.one_minus_correlation¶
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mvpa2.measures.nnsearchlight.
one_minus_correlation
(X, Y)¶ Return one minus the correlation matrix between the rows of two matrices.
This functions computes a matrix of correlations between all pairs of rows of two matrices. Unlike NumPy’s corrcoef() this function will only considers pairs across matrices and not within, e.g. both elements of a pair never have the same source matrix as origin.
Both arrays need to have the same number of columns.
Parameters: X: 2D-array
Y: 2D-array
Examples
>>> import numpy as np >>> from mvpa2.clfs.distance import one_minus_correlation >>> X = np.random.rand(20,80) >>> Y = np.random.rand(5,80) >>> C = one_minus_correlation(X, Y) >>> print C.shape (20, 5)