optimizers_test.py 文件源码

def setUp(self):
        os.putenv("KMP_DUPLICATE_LIB_OK", "TRUE")
        self.X_class, self.y_class = datasets.make_classification(random_state=42)
        self.X_reg, self.y_reg = datasets.make_regression(random_state=42)
        self.classification_optimizers = [XGBoostOptimizer, RandomForestOptimizer]
        self.regression_optimizers = [XGBoostOptimizer, RandomForestOptimizer]
        self.class_scorer = Scorer("auc_error", lambda y_pred, y_true: 1 - metrics.roc_auc_score(y_pred, y_true))
        self.reg_scorer = Scorer("mse", metrics.mean_squared_error)

        self.classification_task_split = \
            Task("class_split", self.X_class, self.y_class, "classification", test_size=0.1, random_state=42)
        self.regression_task_split = \
            Task("reg_split", self.X_class, self.y_class, "regression", test_size=0.1, random_state=42)

        self.classification_task_cv = \
            Task("class_cv", self.X_reg, self.y_reg, "classification", cv=5, random_state=42)
        self.regression_task_cv = \
            Task("reg_cv", self.X_reg, self.y_reg, "regression", cv=5, random_state=42)