def _init_all_models(self):
    self.names = ['Nearest Neighbors', 'Linear SVM', 'RBF SVM', 'Gaussian Process', 'Decision Tree', 'Random Forest', 'Neural Net', 'AdaBoost', 'Naive Bayes', 'QDA']
    self.model_name = None
    self.classifiers = [KNeighborsClassifier(5), SVC(kernel='linear', C=10.0), SVC(gamma=0.01, C=1.0, verbose=True), GaussianProcessClassifier((1.0 * RBF(1.0))), DecisionTreeClassifier(max_depth=5), RandomForestClassifier(max_depth=30, n_estimators=100, max_features='auto'), MLPClassifier((20, 30, 40)), AdaBoostClassifier(), GaussianNB(), QuadraticDiscriminantAnalysis()]
def _init_all_models(self):
    self.names = ['Nearest Neighbors', 'Linear SVM', 'RBF SVM', 'Gaussian Process', 'Decision Tree', 'Random Forest', 'Neural Net', 'AdaBoost', 'Naive Bayes', 'QDA']
    self.model_name = None
    self.classifiers = [KNeighborsClassifier(5), SVC(kernel='linear', C=10.0), SVC(gamma=0.01, C=1.0, verbose=True), GaussianProcessClassifier((1.0 * RBF(1.0))), DecisionTreeClassifier(max_depth=5), RandomForestClassifier(max_depth=30, n_estimators=100, max_features='auto'), MLPClassifier((20, 30, 40)), AdaBoostClassifier(), GaussianNB(), QuadraticDiscriminantAnalysis()]