Can convert the model but not print it?

[prabhant]

Hi Here's my code

model = compose.Pipeline(
    ('scale', preprocessing.StandardScaler()),
    ('log_reg', SoftmaxRegression())
)

model = compat.convert_river_to_sklearn(model)
scores = model_selection.cross_val_score(model, X, y, scoring=scorer, cv=cv)
print(f'ROC AUC: {scores.mean():.3f} (± {scores.std():.3f})')

No errors here but when i try to print the classifier i get this error:

AttributeError                            Traceback (most recent call last)
/usr/local/lib/python3.7/dist-packages/IPython/core/formatters.py in __call__(self, obj)
    697                 type_pprinters=self.type_printers,
    698                 deferred_pprinters=self.deferred_printers)
--> 699             printer.pretty(obj)
    700             printer.flush()
    701             return stream.getvalue()

15 frames
/usr/local/lib/python3.7/dist-packages/river/base/base.py in <dictcomp>(.0)
    273             and param.kind == param.VAR_POSITIONAL
    274             or param.name == "kwargs"
--> 275             and param.kind == param.VAR_KEYWORD
    276         )
    277     }

AttributeError: 'SoftmaxRegression' object has no attribute 'optimizer'

This does not happend with other classifiers, only softmaxRegression, Am i doing something wrong here or shall i raise an issue?

[MaxHalford]

It's clearly a bug, I'll fix it soon. Cheers!

[MaxHalford]

Fixed in #550.