def get_min_samples_leaf(self):
raise VisualisationNotYetSupportedError("get_min_samples_leaf()",
"XGBoost")
def criterion(self):
raise VisualisationNotYetSupportedError("criterion()", "XGBoost")
def get_node_criterion(self):
raise VisualisationNotYetSupportedError("get_node_criterion()",
"XGBoost")
def get_score(self):
raise VisualisationNotYetSupportedError("get_score()", "XGBoost")
def get_feature_path_importance(self, node_list):
raise VisualisationNotYetSupportedError(
"get_feature_path_importance()", "XGBoost")
def get_score(self) -> float:
raise VisualisationNotYetSupportedError("get_score()", "LightGBM")
def get_max_depth(self) -> int:
# max_depth can be found in lgbm_model.params, but only if the max_depth is specified
# otherwise the max depth is -1, from lgbm_model.model_to_string() (to double check)
raise VisualisationNotYetSupportedError("get_max_depth()", "LightGBM")
def get_node_criterion(self, id):
raise VisualisationNotYetSupportedError("get_node_criterion()", "LightGBM")
def criterion(self) -> str:
raise VisualisationNotYetSupportedError("criterion()", "LightGBM")
