From: Sinacam <stinkingmadgod@gmail.com>
Date: Sun, 7 Aug 2022 14:01:37 +0000 (+0800)
Subject: added comment on resize
X-Git-Tag: v245~2
X-Git-Url: https://granicus.if.org/sourcecode?a=commitdiff_plain;h=6b341aec710c2e8ba789a5184e7289f4b199c493;p=liblinear

added comment on resize
---

diff --git a/python/README b/python/README
index aa31a00..2f376e6 100644
--- a/python/README
+++ b/python/README
@@ -136,6 +136,7 @@ If numba (http://numba.pydata.org) is installed, some operations will be much fa
 There are two levels of usage. The high-level one uses utility functions
 in liblinearutil.py and the usage is the same as the LIBLINEAR MATLAB interface.
 
+>>> import numpy as np
 >>> import scipy
 >>> from liblinear.liblinearutil import *
 # Read data in LIBSVM format
@@ -145,7 +146,6 @@ in liblinearutil.py and the usage is the same as the LIBLINEAR MATLAB interface.
 
 # Construct problem in Scipy format
 # Dense data: numpy ndarray
->>> import numpy as np
 >>> y, x = np.asarray([1,-1]), np.asarray([[1,0,1], [-1,0,-1]])
 # Sparse data: scipy csr_matrix((data, (row_ind, col_ind))
 >>> y, x = np.asarray([1,-1]), scipy.sparse.csr_matrix(([1, 1, -1, -1], ([0, 0, 1, 1], [0, 2, 0, 2])))
diff --git a/python/liblinear/commonutil.py b/python/liblinear/commonutil.py
index 91e0151..c3aca93 100644
--- a/python/liblinear/commonutil.py
+++ b/python/liblinear/commonutil.py
@@ -160,7 +160,7 @@ def csr_scale(x, scale_param):
 
     if not n == len(coef):
         print("WARNING: The dimension of scaling parameters and feature number do not match.", file=sys.stderr)
-        coef = coef.resize(n)
+        coef = coef.resize(n) # zeros padded if n > len(coef)
         offset = offset.resize(n)
 
     # scaled_x = x * diag(coef) + ones(l, 1) * offset'