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Adjusting base_score for BaseBoostingAssembler and XGBoostTreeModelAssembler #596

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Adjusting base_score for BaseBoostingAssembler and XGBoostTreeModelAssembler #596

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14 changes: 11 additions & 3 deletions m2cgen/assemblers/boosting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,10 @@ class BaseBoostingAssembler(ModelAssembler):
def __init__(self, model, estimator_params, base_score=0.0):
super().__init__(model)
self._all_estimator_params = estimator_params
self._base_score = base_score
if base_score is None:
self._base_score = 0.0
else:
self._base_score = base_score

self._output_size = 1
self._is_classification = False
Expand Down Expand Up @@ -141,10 +144,15 @@ def __init__(self, model):
# Limit the number of trees that should be used for
# assembling (if applicable).
best_ntree_limit = getattr(model, "best_ntree_limit", None)

if model.get_params().get("base_score") is not None:
base_score = model.get_params()["base_score"]
elif model.intercept_ is not None:
base_score = model.intercept_[0]
else:
base_score = 0.0
super().__init__(model,
trees,
base_score=model.get_params()["base_score"],
base_score=base_score,
tree_limit=best_ntree_limit)

def _assemble_tree(self, tree):
Expand Down