def mytest_info(void): dest_num = 3 np.set_printoptions(threshold= dest_num + 1) iris = load_digits() #iris = load_iris() X, y = iris.data, iris.target #print "X is ", X.shape t1 = time.clock() result = infoGain.infoGain(X,y,dest_num) t2 = time.clock() slot = t2 - t1 return result,slot
def mytest_info(void): dest_num = 3 np.set_printoptions(threshold=dest_num + 1) iris = load_digits() #iris = load_iris() X, y = iris.data, iris.target #print "X is ", X.shape t1 = time.clock() result = infoGain.infoGain(X, y, dest_num) t2 = time.clock() slot = t2 - t1 return result, slot
#import numpy as np #import infoGain #X = np.array([['a','a','a'], ['a','a',1], [1,'a','a'],[1,1,1]]) #y = np.array([['a'],['a'],[1],[2]]) import numpy as np import infoGain import time from sklearn.datasets import load_iris from sklearn.datasets import load_digits from sklearn.feature_selection import SelectKBest from sklearn.feature_selection import chi2 dest_num = 3 np.set_printoptions(threshold= dest_num + 1) iris = load_digits() #iris = load_iris() X, y = iris.data, iris.target #print "X is ", X.shape t1 = time.clock() result = infoGain.infoGain(X,y,dest_num) t2 = time.clock() slot = t2 - t1 print "time is ", slot
#import numpy as np #import infoGain #X = np.array([['a','a','a'], ['a','a',1], [1,'a','a'],[1,1,1]]) #y = np.array([['a'],['a'],[1],[2]]) import numpy as np import infoGain import time from sklearn.datasets import load_iris from sklearn.datasets import load_digits from sklearn.feature_selection import SelectKBest from sklearn.feature_selection import chi2 dest_num = 3 np.set_printoptions(threshold=dest_num + 1) iris = load_digits() #iris = load_iris() X, y = iris.data, iris.target #print "X is ", X.shape t1 = time.clock() result = infoGain.infoGain(X, y, dest_num) t2 = time.clock() slot = t2 - t1 print "time is ", slot