Exceptions for package
xgboost
github stars 21505

5
views 176
`_estimator_type` undefined. Please use appropriate mixin to define estimator type. / xgboost
4
views 526
tree must be Booster, XGBModel or dict instance / xgboost
3
views 2051
need to call fit or load_model beforehand / xgboost
2
views 1021
Booster.get_score() results in empty. This maybe caused by having all trees as decision dumps. / xgboost
2
views 818
feature_names must be unique / xgboost
2
views 221
Input data can not be a list. / xgboost
2
views 74
Complex data not supported / xgboost
2
views 47
eval_group or eval_qid is required if eval_set is not None / xgboost
1
views 1317
Only one of `iteration_range` and `ntree_limit` can be non zero. / xgboost
1
views 538
feature_names must be string, and may not contain [, ] or < / xgboost
1
views 520
XGBoost Library ((param1)) could not be loaded. Likely causes: * OpenMP runtime is not installed (vcomp140.dll or libgomp-1.dll for Windows, libomp.dylib for Mac OSX, libgomp.so for Linux and other UNIX-like OSes). Mac OSX users: Run `brew install libomp` to install OpenMP runtime. * You are running 32-bit Python on a 64-bit OS Error message(s): (param1) / xgboost
1
views 472
You must install graphviz to plot tree / xgboost
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