add doc and correct encoding

Author: rflamary

ot/__init__.py

@@ -1,4 +1,8 @@
-"""Python Optimal Transport toolbox"""
+"""Python Optimal Transport toolbox
+
+
+
+"""
 
 
 # All submodules and packages

ot/bregman.py

@@ -508,11 +508,11 @@ def geometricMean(alldistribT):
     return np.exp(np.mean(np.log(alldistribT),axis=1))
 
 def projR(gamma,p):
-    #return np.dot(np.diag(p/np.maximum(np.sum(gamma,axis=1),1e-10)),gamma)
+    """return the KL projection on the row constrints """
     return np.multiply(gamma.T,p/np.maximum(np.sum(gamma,axis=1),1e-10)).T
 
 def projC(gamma,q):
-    #return (np.dot(np.diag(q/np.maximum(np.sum(gamma,axis=0),1e-10)),gamma.T)).T
+    """return the KL projection on the column constrints """
     return np.multiply(gamma,q/np.maximum(np.sum(gamma,axis=0),1e-10))
 
 

ot/utils.py

@@ -63,10 +63,10 @@ def dist(x1,x2=None,metric='sqeuclidean'):
         matrix with n2 samples of size d (if None then x2=x1)
     metric : str, fun, optional
         name of the metric to be computed (full list in the doc of scipy),  If a string,
-        the distance function can be ‘braycurtis’, ‘canberra’, ‘chebyshev’, ‘cityblock’,
-        ‘correlation’, ‘cosine’, ‘dice’, ‘euclidean’, ‘hamming’, ‘jaccard’, ‘kulsinski’,
-        ‘mahalanobis’, ‘matching’, ‘minkowski’, ‘rogerstanimoto’, ‘russellrao’, ‘seuclidean’,
-        ‘sokalmichener’, ‘sokalsneath’, ‘sqeuclidean’, ‘wminkowski’, ‘yule’.
+        the distance function can be 'braycurtis', 'canberra', 'chebyshev', 'cityblock',
+        'correlation', 'cosine', 'dice', 'euclidean', 'hamming', 'jaccard', 'kulsinski',
+        'mahalanobis', 'matching', 'minkowski', 'rogerstanimoto', 'russellrao', 'seuclidean',
+        'sokalmichener', 'sokalsneath', 'sqeuclidean', 'wminkowski', 'yule'.
 
 
     Returns