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adding check for n_features in skl gb #952

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Dec 9, 2022
Merged

adding check for n_features in skl gb #952

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7 changes: 6 additions & 1 deletion skl2onnx/operator_converters/gradient_boosting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,12 @@ def convert_sklearn_gradient_boosting_classifier(
if op.init == 'zero':
base_values = np.zeros(op.loss_.K)
elif op.init is None:
x0 = np.zeros((1, op.estimators_[0, 0].n_features_))
if hasattr(op.estimators_[0, 0], 'n_features_in_'):
# sklearn >= 1.2
x0 = np.zeros((1, op.estimators_[0, 0].n_features_in_))
else:
# sklearn < 1.2
x0 = np.zeros((1, op.estimators_[0, 0].n_features_))
if hasattr(op, '_raw_predict_init'):
# sklearn >= 0.21
base_values = op._raw_predict_init(x0).ravel()
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