svm_node_array is replaced by svm_nodearray in README.

Author: popo

python/README

@@ -76,8 +76,8 @@ carefully.
 >>> prob = svm_problem([1,-1], [{1:1, 3:1}, {1:-1,3:-1}])
 >>> param = svm_parameter('-c 4')
 >>> m = libsvm.svm_train(prob, param) # m is a ctype pointer to an svm_model
-# Convet a Python-fromat instance to svm_node_array, a ctypes structure
->>> x0, max_idx = gen_svm_node_array({1:1, 3:1})
+# Convet a Python-fromat instance to svm_nodearray, a ctypes structure
+>>> x0, max_idx = gen_svm_nodearray({1:1, 3:1})
 >>> label = libsvm.svm_predict(m, x0)
 
 Design Description
@@ -118,13 +118,13 @@ LIBSVM shared library:
 
     val: a float indicates the feature value.
 
-- Function: gen_svm_node_array(xi [,feature_max=None [,issparse=False]])
+- Function: gen_svm_nodearray(xi [,feature_max=None [,issparse=False]])
 
     Generate a feature vector from a Python list/tuple or a dictionary:
 
-    >>> xi, max_idx = gen_svm_node_array({1:1, 3:1, 5:-2})
+    >>> xi, max_idx = gen_svm_nodearray({1:1, 3:1, 5:-2})
 
-    xi: the returned svm_node_array (a ctypes structure)
+    xi: the returned svm_nodearray (a ctypes structure)
 
     max_idx: the maximal feature index of xi