def covariances(X, estimator='cov'):
est = _check_est(estimator)
Nt, Ne, Ns = X.shape
covmats = numpy.zeros((Nt, Ne, Ne))
for i in range(Nt):
covmats[i, :, :] = est(X[i, :, :])
return covmats
covariance.py 文件源码
python
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