I am new to xgboost, I trained a model, that works pretty well. Now I am trying to use eli5 to see the weights and I get: KeyError: 'bias'
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
in
3 clf6 = model6.named_steps['clf']
4 vec6 = model6.named_steps['transformer']
----> 5 explain_weights_xgboost(clf6, vec=vec6)
~/dev/envs/env3.7/lib/python3.7/site-packages/eli5/xgboost.py in explain_weights_xgboost(xgb, vec, top, target_names, targets, feature_names, feature_re, feature_filter, importance_type)
80 description=DESCRIPTION_XGBOOST,
81 is_regression=is_regression,
---> 82 num_features=coef.shape[-1],
83 )
84
~/dev/envs/env3.7/lib/python3.7/site-packages/eli5/_feature_importances.py in get_feature_importance_explanation(estimator, vec, coef, feature_names, feature_filter, feature_re, top, description, is_regression, estimator_feature_names, num_features, coef_std)
35 feature_filter=feature_filter,
36 feature_re=feature_re,
---> 37 num_features=num_features,
38 )
39 feature_importances = get_feature_importances_filtered(
~/dev/envs/env3.7/lib/python3.7/site-packages/eli5/sklearn/utils.py in get_feature_names_filtered(clf, vec, bias_name, feature_names, num_features, feature_filter, feature_re, estimator_feature_names)
124 feature_names=feature_names,
125 num_features=num_features,
--> 126 estimator_feature_names=estimator_feature_names,
127 )
128 return feature_names.handle_filter(feature_filter, feature_re)
~/dev/envs/env3.7/lib/python3.7/site-packages/eli5/sklearn/utils.py in get_feature_names(clf, vec, bias_name, feature_names, num_features, estimator_feature_names)
77 features are named x0, x1, x2, etc.
78 """
---> 79 if not has_intercept(clf):
80 bias_name = None
81
~/dev/envs/env3.7/lib/python3.7/site-packages/eli5/sklearn/utils.py in has_intercept(estimator)
60 if hasattr(estimator, 'fit_intercept'):
61 return estimator.fit_intercept
---> 62 if hasattr(estimator, 'intercept_'):
63 if estimator.intercept_ is None:
64 return False
~/dev/envs/env3.7/lib/python3.7/site-packages/xgboost/sklearn.py in intercept_(self)
743 .format(self.booster))
744 b = self.get_booster()
--> 745 return np.array(json.loads(b.get_dump(dump_format='json')[0])['bias'])
746
747
KeyError: 'bias'
Thank you!
