def run():
clf= Classifier('breast-cancer-wisconsin.data.txt')
clf.clf_fit_transform()
clf.default_accuracy_lr()
clf.weight_coefficent_lr()
clf.SBS_lf()
# it takes long time to run the Random forest Code ...uncomment to check the result
# clf.feature_selection_rf()
clf.PCA()
clf.pipe_kf_validation()
clf.clf_learning_curve()
clf.clf_validation_curve()
clf.clf_roc_curve()
clf.train()
clf.l1l2()
dest = os.path.join('classifier', 'pkl_objects')
if not os.path.exists(dest):
os.makedirs(dest)
pickle.dump(clf, open(os.path.join(dest, 'classifier.pkl'), 'wb'), protocol=2)
