[BUG]: fold_groups argument doesn't accept column name string

[Ali-Flt]

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Issue Description

So my data frame has a column called 'groups'. when using 'groupkfold' as fold_strategy, I gave 'groups' as fold_groups argument. But when I run compare_models(), the function runs in less than a second and returns an empty list. I tried giving train_data['groups'] as fold_groups argument instead and it "seems" like it's working. I say it seems like because I don't have any ways to verify whether it's actually doing groupkfold correctly or not.

Also, do I have to give ['groups'] as ignore_features argument too when using groupkfold or not?

Reproducible Example

from pycaret.regression import *
s = setup(
          train_data,
          target = 'label',
          test_data=test_data,
          imputation_type=None,
          normalize=True,
          html=True,
          profile=False,
          verbose=True,
          session_id=(3964),
          feature_selection=True,
          feature_selection_method='sequential',
          n_features_to_select=40,
          polynomial_features=False,
          remove_multicollinearity=True,
          fold_strategy='groupkfold',
          fold_groups='groups',
          fold=10,
          remove_outliers=False,
          transformation=False,
          ignore_features=['groups']
          )

bests = compare_models(turbo=False, n_select=4, sort='R2')

Expected Behavior

compare_models returns trained models.

Actual Results

bests = []

Installed Versions

System: python: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:56:21) [GCC 10.3.0] executable: /home/ali/anaconda3/envs/pycaret_env/bin/python machine: Linux-5.4.0-122-generic-x86_64-with-glibc2.31

PyCaret required dependencies: pip: 22.2.2 setuptools: 65.3.0 pycaret: 3.0.0.rc3 IPython: 7.33.0 ipywidgets: 8.0.1 tqdm: 4.64.0 numpy: 1.21.6 pandas: 1.4.3 jinja2: 3.1.2 scipy: 1.8.1 joblib: 1.1.0 sklearn: 1.1.2 pyod: Installed but version unavailable imblearn: 0.9.1 category_encoders: 2.5.0 lightgbm: 3.3.2 numba: 0.55.2 requests: 2.28.1 matplotlib: 3.6.0rc2 scikitplot: 0.3.7 yellowbrick: 1.5 plotly: 5.10.0 kaleido: 0.2.1 statsmodels: 0.13.2 sktime: 0.11.4 tbats: Installed but version unavailable pmdarima: 2.0.1 psutil: 5.9.2