MIN Avoid naming variable x1

In certain fonts, it resembles xl too much

Author: luispedro

ch07/usermodel.py

@@ -24,13 +24,13 @@
 defmovie_norm(xc):
 '''Normalize per movie'''
 xc=xc.copy().toarray()
-# x1 is the mean of the positive items
-x1=np.array([xi[xi>0].mean() forxiinxc])
-x1=np.nan_to_num(x1)
+# xpos is the mean of the positive items
+xpos=np.array([xi[xi>0].mean() forxiinxc])
+xpos=np.nan_to_num(xpos)
 
 foriinrange(xc.shape[0]):
-xc[i] -= (xc[i] >0) *x1[i]
-returnxc, x1
+xc[i] -= (xc[i] >0) *xpos[i]
+returnxc, xpos
 
 
 deflearn_for(i):
@@ -43,12 +43,12 @@ def learn_for(i):
 eb=0
 kf=KFold(len(y), n_folds=4)
 fortrain, testinkf:
-xc, x1=movie_norm(x[train])
-reg.fit(xc, y[train] -x1)
+xc, xpos=movie_norm(x[train])
+reg.fit(xc, y[train] -xpos)
 
-xc, x1=movie_norm(x[test])
+xc, xpos=movie_norm(x[test])
 p=reg.predict(xc).ravel()
-e= (p+x1) -y[test]
+e= (p+xpos) -y[test]
 err+=np.sum(e*e)
 eb+=np.sum((y[train].mean() -y[test]) **2)
 returnnp.sqrt(err/float(len(y))), np.sqrt(eb/float(len(y)))