epfl-lts2 / pygsp / 732

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travis-ci

nngraph: standardize instead of center and rescale

Rescaling was useful before the adaptive setting (to the mean of the
distances) of the kernel width. It is now useless. Centering can be
combined with normalizing to unit variance to standardize the data.

877 of 1105 branches covered (79.37%)

Branch coverage included in aggregate %.

3427 of 3831 relevant lines covered (89.45%)

3.57 hits per line