[BUG]: error with residuals_interactive plot

[moezali1]

pycaret version checks

• I have checked that this issue has not already been reported here.

• I have confirmed this bug exists on the latest version of pycaret.

• I have confirmed this bug exists on the develop branch of pycaret (pip install -U git+https://github.com/pycaret/pycaret.git@develop).

Issue Description

plot_model(model, plot = 'residuals_interactive') generates error. see below to reproduce.

Reproducible Example

from pycaret.datasets import get_data
data = get_data('insurance')

from pycaret.regression import *
s = setup(data, target = 'charges', session_id = 123)

dt = create_model('dt')

plot_model(dt, plot = 'residuals_interactive')

Expected Behavior

The plot is displayed but after the plot error is printed. see below log.

Actual Results

---------------------------------------------------------------------------
UnboundLocalError                         Traceback (most recent call last)
Input In [23], in <cell line: 1>()
----> 1 plot_model(dt, plot = 'residuals_interactive')

File ~\anaconda3\envs\pycaret-develop\lib\site-packages\pycaret\internal\utils.py:911, in check_if_global_is_not_none.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
    909     if globals_d[name] is None:
    910         raise ValueError(message)
--> 911 return func(*args, **kwargs)

File ~\anaconda3\envs\pycaret-develop\lib\site-packages\pycaret\regression\functional.py:1555, in plot_model(estimator, plot, scale, save, fold, fit_kwargs, plot_kwargs, groups, use_train_data, verbose, display_format)
   1455 @check_if_global_is_not_none(globals(), _CURRENT_EXPERIMENT_DECORATOR_DICT)
   1456 def plot_model(
   1457     estimator,
   (...)
   1467     display_format: Optional[str] = None,
   1468 ) -> str:
   1470     """
   1471     This function analyzes the performance of a trained model on holdout set.
   1472     It may require re-training the model in certain cases.
   (...)
   1552 
   1553     """
-> 1555     return _CURRENT_EXPERIMENT.plot_model(
   1556         estimator=estimator,
   1557         plot=plot,
   1558         scale=scale,
   1559         save=save,
   1560         fold=fold,
   1561         fit_kwargs=fit_kwargs,
   1562         plot_kwargs=plot_kwargs,
   1563         groups=groups,
   1564         verbose=verbose,
   1565         use_train_data=use_train_data,
   1566         display_format=display_format,
   1567     )

File ~\anaconda3\envs\pycaret-develop\lib\site-packages\pycaret\regression\oop.py:1339, in RegressionExperiment.plot_model(self, estimator, plot, scale, save, fold, fit_kwargs, plot_kwargs, groups, use_train_data, verbose, display_format)
   1244 def plot_model(
   1245     self,
   1246     estimator,
   (...)
   1256     display_format: Optional[str] = None,
   1257 ) -> str:
   1259     """
   1260     This function analyzes the performance of a trained model on holdout set.
   1261     It may require re-training the model in certain cases.
   (...)
   1336 
   1337     """
-> 1339     return super().plot_model(
   1340         estimator=estimator,
   1341         plot=plot,
   1342         scale=scale,
   1343         save=save,
   1344         fold=fold,
   1345         fit_kwargs=fit_kwargs,
   1346         plot_kwargs=plot_kwargs,
   1347         groups=groups,
   1348         verbose=verbose,
   1349         use_train_data=use_train_data,
   1350         system=True,
   1351         display_format=display_format,
   1352     )

File ~\anaconda3\envs\pycaret-develop\lib\site-packages\pycaret\internal\pycaret_experiment\tabular_experiment.py:2023, in _TabularExperiment.plot_model(self, estimator, plot, scale, save, fold, fit_kwargs, plot_kwargs, groups, feature_name, label, use_train_data, verbose, system, display, display_format)
   2020     self.logger.info("Visual Rendered Successfully")
   2022 # execute the plot method
-> 2023 ret = locals()[plot]()
   2024 if ret:
   2025     plot_filename = ret

File ~\anaconda3\envs\pycaret-develop\lib\site-packages\pycaret\internal\pycaret_experiment\tabular_experiment.py:677, in _TabularExperiment.plot_model.<locals>.residuals_interactive()
    674     resplots.write_html(plot_filename)
    676 self.logger.info("Visual Rendered Successfully")
--> 677 return plot_filename

UnboundLocalError: local variable 'plot_filename' referenced before assignment

Installed Versions

3.0

[moezali1]

@Yard1 The issue still exist. I have reproduced it here

[moezali1]

The issue is fixed now. Thanks