learn-grad.py File Reference

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Namespaces
namespace	learn-grad

Functions
def	learn-grad.read_data

Variables
tuple	learn-grad.scaler = preprocessing.StandardScaler()
tuple	learn-grad.grads = scaler.transform(grads)
tuple	learn-grad.grads2 = scaler.transform(grads2)
	learn-grad.Y = grads
tuple	learn-grad.test_svm = svm.SVC(kernel='rbf', C=20, gamma=0.15, probability=True)
tuple	learn-grad.num_stab = sum(1 for s in scores if s[1] == 1)
list	learn-grad.missed_stab_arr = [s[0] for t, s, in zip(Y, scores) if s[1]==1 and test_svm.predict(t) != s[1]]
tuple	learn-grad.missed_stab = len(missed_stab_arr)
tuple	learn-grad.ave_score = sum(missed_stab_arr)
tuple	learn-grad.max_score = max(missed_stab_arr)
tuple	learn-grad.ave_good_score = sum(missed_stab_arr)
tuple	learn-grad.max_good_score = max(missed_stab_arr)
tuple	learn-grad.num_unstab = sum(1 for s in scores if s[1] == 0)
tuple	learn-grad.missed_unstab = sum(1 for t, s in zip(Y, scores) if s[1] == 0 and test_svm.predict(t) != s[1])