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Inherited from Inherited from 

Inherited from CovarianceMatrix  




Inherited from 

Init the internal structures. The reason this is not done in the constructor is that we want to be able to derive the input dimension and the dtype directly from the data this class receives.

Returns a triple containing the covariance matrix, the average and the number of observations. The covariance matrix is then reset to a zerostate. If center is false, the returned matrix is the matrix of the second moments, i.e. the covariance matrix of the data without subtracting the mean.

Update internal structures. Note that no consistency checks are performed on the data (this is typically done in the enclosing node).

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