Comments (2)
celestinoxp
commented on September 27, 2024
Hello, the problem must not be with pycaret, but with your code. Honestly, no one has time to analyze such a large code... I suggest you waste some of your time analyzing the logic of your code...
If you find a bug in Pycaret, you can open a specific issue for the problem...
If you have no further questions, you can close this issue
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sm-ak-r33
commented on September 27, 2024
Fixed. Thanks.
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Related Issues (20)
- [BUG]: inconsistent date columns transformations between training and infernece HOT 1
- [BUG]: not all models compared in `compare_models` HOT 3
- [BUG]: kaggle from pycaret.classification import * error
- [BUG]: Time series model with seasonality type = "auto" throws zero division error HOT 1
- [BUG]: blend_models() and stack_models() Fail with Certain Models Above 1000 Samples HOT 1
- [BUG]: %pip install pycaret[full] give an error. HOT 2
- [ENH]: Call estimator in custom metric function
- [BUG]: Import error in Pycaret 3.3.2 HOT 4
- [BUG]: 'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install. HOT 1
- [BUG]: cannot import name '_print_elapsed_time' from 'sklearn.utils' HOT 1
- [BUG]: finalize_model does not work when test_data and groupKfold are used.
- [BUG]: AttributeError for `log_profile=True`
- [BUG]: tune_model use search_library='optuna' can not limit cpu usage
- [ENH]: Kernel Approximation for large dataset
- [BUG]: compare_models in parallel mode fails when include parameter is set to empty list HOT 2
- [BUG]: AXIS Y OF FEATUE
- [BUG]: conda 3.3.2
- [ENH]: Ease index requirement for provided test_data HOT 2
- ImportError: cannot import name '_Scorer' from 'sklearn.metrics._scorer' (/opt/conda/lib/python3.10/site-packages/sklearn/metrics/_scorer.py) HOT 4
- [ENH]: Accept train and test datasets with similar indices HOT 1
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