def get_model_meta(self):
model_meta = DecisionTreeModelMeta()
model_meta.max_depth = self.max_depth
model_meta.min_sample_split = self.min_sample_split
model_meta.min_impurity_split = self.min_impurity_split
model_meta.min_leaf_node = self.min_leaf_node
model_meta.use_missing = self.use_missing
model_meta.zero_as_missing = self.zero_as_missing
return model_meta
def get_model_meta(self):
model_meta = DecisionTreeModelMeta()
model_meta.criterion_meta.CopyFrom(CriterionMeta(criterion_method=self.criterion_method,
criterion_param=self.criterion_params))
model_meta.max_depth = self.max_depth
model_meta.min_sample_split = self.min_sample_split
model_meta.min_impurity_split = self.min_impurity_split
model_meta.min_leaf_node = self.min_leaf_node
model_meta.use_missing = self.use_missing
model_meta.zero_as_missing = self.zero_as_missing
return model_meta