Because of that i get error such as this one :
dataset plot infogain-compare not-packed --datasets upx upx_baseline -n 20
00:00:01.027 [INFO] Preparing plot data...
/home/user/.local/lib/python3.12/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: ['entropy_code_section' 'entropy_data_section' 'number_addresses_in_iat']. At least one non-missing value is needed for imputation with strategy='mean'.
warnings.warn(
Traceback (most recent call last):
File "/home/user/.opt/tools/dataset", line 215, in <module>
getattr(ds, args.command)(**vars(args))
File "/home/user/.local/lib/python3.12/site-packages/pbox/core/dataset/__init__.py", line 696, in plot
_PLOTS[subcommand](self, **kw)
File "/home/user/.local/lib/python3.12/site-packages/pbox/helpers/figure.py", line 67, in _wrapper
imgs = f(*a, **configure_style(**kw))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/user/.local/lib/python3.12/site-packages/pbox/core/dataset/visualization.py", line 291, in _information_gain_comparison_heatmap
df[feature] = SimpleImputer(missing_values=np.nan, strategy="mean").fit_transform(df[feature])
~~^^^^^^^^^
File "/home/user/.local/lib/python3.12/site-packages/pandas/core/frame.py", line 4299, in __setitem__
self._setitem_array(key, value)
File "/home/user/.local/lib/python3.12/site-packages/pandas/core/frame.py", line 4350, in _setitem_array
self._iset_not_inplace(key, value)
File "/home/user/.local/lib/python3.12/site-packages/pandas/core/frame.py", line 4377, in _iset_not_inplace
raise ValueError("Columns must be same length as key")
ValueError: Columns must be same length as key
Only for UPX, i get features None ...
Because of that i get error such as this one :
dataset plot infogain-compare not-packed --datasets upx upx_baseline -n 20