Issue with the `RidgeCV` diagram representation with non-default alphas

It seems that we introduced a regression in the HTML representation. The following code is failing:

```python
import numpy as np
from sklearn.linear_model import RidgeCV

RidgeCV(np.logspace(-3, 3, num=10)
```

leads to the following error:

```pytb
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/IPython/core/formatters.py:406, in BaseFormatter.__call__(self, obj)
    404     method = get_real_method(obj, self.print_method)
    405     if method is not None:
--> 406         return method()
    407     return None
    408 else:

File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/sklearn/utils/_repr_html/base.py:145, in ReprHTMLMixin._repr_html_inner(self)
    140 def _repr_html_inner(self):
    141     """This function is returned by the @property `_repr_html_` to make
    142     `hasattr(estimator, "_repr_html_") return `True` or `False` depending
    143     on `get_config()["display"]`.
    144     """
--> 145     return self._html_repr()

File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/sklearn/utils/_repr_html/estimator.py:480, in estimator_html_repr(estimator)
    469 html_template = (
    470     f"<style>{style_with_id}</style>"
    471     f"<body>"
   (...)    476     '<div class="sk-container" hidden>'
    477 )
    479 out.write(html_template)
--> 480 _write_estimator_html(
    481     out,
    482     estimator,
    483     estimator.__class__.__name__,
    484     estimator_str,
    485     first_call=True,
    486     is_fitted_css_class=is_fitted_css_class,
    487     is_fitted_icon=is_fitted_icon,
    488 )
    489 with open(str(Path(__file__).parent / "estimator.js"), "r") as f:
    490     script = f.read()

File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/sklearn/utils/_repr_html/estimator.py:386, in _write_estimator_html(out, estimator, estimator_label, estimator_label_details, is_fitted_css_class, is_fitted_icon, first_call, param_prefix)
    384 elif est_block.kind == "single":
    385     if hasattr(estimator, "_get_params_html"):
--> 386         params = estimator._get_params_html()._repr_html_inner()
    387     else:
    388         params = ""

File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/sklearn/base.py:310, in BaseEstimator._get_params_html(self, deep)
    306 ordered_out = {name: out[name] for name in init_default_params if name in out}
    307 ordered_out.update({name: out[name] for name in remaining_params})
    309 non_default_ls = tuple(
--> 310     [name for name, value in ordered_out.items() if is_non_default(name, value)]
    311 )
    313 return ParamsDict(ordered_out, non_default=non_default_ls)

File ~/Documents/teaching/demo_data_science_agent/.pixi/envs/default/lib/python3.13/site-packages/sklearn/base.py:296, in BaseEstimator._get_params_html.<locals>.is_non_default(param_name, param_value)
    291 if isinstance(param_value, BaseEstimator) and type(param_value) is not type(
    292     init_default_params[param_name]
    293 ):
    294     return True
--> 296 if param_value != init_default_params[param_name] and not (
    297     is_scalar_nan(init_default_params[param_name])
    298     and is_scalar_nan(param_value)
    299 ):
    300     return True
    301 return False

ValueError: operands could not be broadcast together with shapes (10,) (3,) 
```

@DeaMariaLeon Would you mind to look at it. If I get the time, I can look at it a bit more in details.

COMMENT:
My guess here is that `param_value != init_default_params[param_name]` compare 2 numpy arrays:

```python
np.array([1, 2, 3]) != np.array([1, 2, 3, 4])
```

```pytb
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[10], line 1
----> 1 np.array([1, 2, 3]) != np.array([1, 2, 3, 4])

ValueError: operands could not be broadcast together with shapes (3,) (4,) 
```

It happens because the two arrays do not have the same size. I'm thinking that we could safely have a `try`/`except` around the comparison because if it fails, it means that the parameter are not the same:

```python
try:
    if param_value != init_default_params[param_name] and not (
           is_scalar_nan(init_default_params[param_name])
           and is_scalar_nan(param_value)
    ):
        return True
except Exception:
    # any exception raised means that we don't have the same
    # parameters
    return True
return False
```

Something in this line of spirit.

Labels: Bug