[BUG]: Training fails in the compare model

[cilvo3i]

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Issue Description

error is rasied in log for all the models

Reproducible Example

from pycaret.regression import RegressionExperiment
exp = RegressionExperiment()
data = exp.setup(data = kpi_data, target = 'Financial_Impact_Due_to_Attacks', session_id = 123,
          feature_selection = True, feature_selection_method = 'sequential', 
          feature_selection_estimator = 'lasso', normalize = False, transformation = False, n_jobs = 1)

exp.compare_models()

Expected Behavior

log file:

File "/home/cilvo-simon/.local/lib/python3.10/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 796, in compare_models
model, model_fit_time = self._create_model(**create_model_args)
File "/home/cilvo-simon/.local/lib/python3.10/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1527, in _create_model
model, model_fit_time, model_results, _ = self._create_model_with_cv(
File "/home/cilvo-simon/.local/lib/python3.10/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1121, in _create_model_with_cv
scores = cross_validate(
File "/home/cilvo-simon/.local/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 285, in cross_validate
_warn_or_raise_about_fit_failures(results, error_score)
File "/home/cilvo-simon/.local/lib/python3.10/site-packages/sklearn/model_selection/_validation.py", line 367, in _warn_or_raise_about_fit_failures
raise ValueError(all_fits_failed_message)
ValueError:
All the 10 fits failed.
It is very likely that your model is misconfigured.
You can try to debug the error by setting error_score='raise'.

>>> from sklearn.model_selection import cross_val_score

File "/home/cilvo-simon/.local/lib/python3.10/site-packages/pycaret/internal/patches/sklearn.py", line 135, in wrapper
if len(args[0]) > 1: # Has transformers
TypeError: object of type 'Lasso' has no len()

Actual Results

top models

Installed Versions

latest

[etherealz9]

I'm experiencing the same issue and some configurations prompt AttributeError: 'AdaBoostRegressor' object has no attribute '_memory_full_transform'.