CelestinoXP

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Results 125 comments of CelestinoXP

[BUG]: Time Series | compare_models()

@ngupta23 can you take a look?

[BUG]: `experiment.automl()` fails when called on the experiment where training is distributed (with spark)

@mkulka-9ld-bd can you try with new pycaret 3.3.0 ? If the problem is resolved, can you close this issue, if not, can you provide more details?

[BUG]: LightGBM >= v4 hangs during cross validation

Hi, I just tested the example code in colab and latest pycaret 3.3.0 and it works perfectly... I can try to help, but I need more information...

[ENH]: black 23.3.0

@Yard1

[BUG]: Custom Metric in tune_model Does Not Subset kwargs 'offset' Appropriately for Each Fold

can you test with the latest version of pycaret? note: the latest version requires python 3.9 at least

[BUG]: incorrect precision, recall, and f1-score for object dtype target

@kwhkim can you check with new pycaret 3.3.0 ? you can use `pip install --upgrade pycaret` If the problem is resolved, can you close this issue, if not, can you...

[BUG]: For some unrecognized reason, clustering always stops at 67%

@Yard1 can you take a look?

[BUG]: AUC score is inaccurate. Model overfits after tuning?

hi, can you check with latest pycaret 3.3.0 ?

[BUG]: xgboost not available

xgboost is an optional package that is only installed in the full version of pycaret... You have 2 options: just install xgboost: `pip install xgboost` or install optional pycaret components:...

[ENH]: define template for header of the files

@moezali1 i think you should say something about this