Comments (3)
Is this a relevant answer for you? is it possible that your script name is lightgbm.py. That ends up creating this issue. Check for example this issue as well where the solution is again same. If your script name is lightgbm.py then change it and should see no further confusion.
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Hi @zyjcs, the @shyamcody answer solved your problem? Please, let us know
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Hi @zyjcs, the @shyamcody answer solved your problem? Please, let us know
It's ok ~ Thank you very much. You do a great jobs.
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Related Issues (20)
- Update documentation
- GPU support
- when running the example i get IndexError: arrays used as indices must be of integer (or boolean) type HOT 2
- Yielding Error - from lazypredict.Supervised import LazyClassifier HOT 3
- ROC-AUC calculation HOT 1
- Support for time series forecasting
- Are predictions same as models? HOT 3
- Cannot run example as shown in the docs HOT 1
- ValueError: too many values to unpack (expected 2) HOT 2
- import error HOT 2
- segmentation fault error
- Add precision to LazyClassifier HOT 1
- Boolean DataFrame incorrect shape
- Verbosity and logging HOT 1
- libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE
- Stopping slow algorithms
- TypeError (OneHotEncoder) on importing LazyRegressor from lazypredict.Supervised HOT 2
- from lazypredict.Supervised import LazyClassifier - TypeError: OneHotEncoder.__init__() got an unexpected keyword argument 'sparse' HOT 7
- scikit-learn version issue HOT 3
- Classification turned into regression HOT 1
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