Closed
Description
It seems that we introduced a regression in the HTML representation. The following code is failing:
import numpy as np
from sklearn.linear_model import RidgeCV
RidgeCV(np.logspace(-3, 3, num=10)leads to the following error:
---------------------------------------------------------------------------
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.