Comments (2)
@JunMa11 You just need use predictions = True in the LazyRegressor or LazyClassifier. Assign the output to models, predictions. Then you will see predictions dataframe with predictions on test data for all the models
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Hi @shankarpandala ,
Got it.
Thanks for your reply very much:)
Best,
Jun
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Related Issues (20)
- data leak detection
- Explainability
- Hyperparameter optimization
- Integrate polars for fast processing of dataframes HOT 1
- 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 2
- 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
- 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
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