FIX: make normalizer use the real l1 norm on each row (without assumi…

…ng positive values)
scikit-learn · Apr 28, 2011 · c674b6c · mblondel · Apr 28, 2011 · ogrisel
1 parent 7b70505
commit c674b6c
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diff --git a/scikits/learn/preprocessing/__init__.py b/scikits/learn/preprocessing/__init__.py
@@ -81,7 +81,7 @@ def fit(self, X, **params):
     def transform(self, X, copy=True):
         if copy:
             X = X.copy()
-        norms = X.sum(axis=1)[:, np.newaxis]
+        norms = np.abs(X).sum(axis=1)[:, np.newaxis]
         norms[norms == 0.0] = 1.0
         X /= norms