def test_sklearn_all_data(self): import mlsql mlsql.sklearn_all_data()
import mlsql_model import mlsql from sklearn.svm import SVC clf = SVC() mlsql.sklearn_configure_params(clf) X, y = mlsql.sklearn_all_data() clf.fit(X, y) X_test, y_test = mlsql.get_validate_data() if len(X_test) > 0: testset_score = clf.score(X_test, y_test) print("mlsql_validation_score:%f" % testset_score) mlsql_model.sk_save_model(clf)
def test_sklearn_all_data(self): import mlsql mlsql.sklearn_all_data()