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Currently there seems to be no way to retrieve the loss (or change in loss) when training a logistic regression model (sklearn.linear_model.LogisticRegression). If one changes the verbosity then this can be seen from the terminal, but also cannot be retrieved from stdout. This makes it unfeasible to actually plot training curves from logistic regression models.
Describe your proposed solution
Add train_loss as an attribute, same as e.g. classes_ or n_features_in_.
Describe alternatives you've considered, if relevant
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Describe the workflow you want to enable
Currently there seems to be no way to retrieve the loss (or change in loss) when training a logistic regression model (
sklearn.linear_model.LogisticRegression
). If one changes the verbosity then this can be seen from the terminal, but also cannot be retrieved from stdout. This makes it unfeasible to actually plot training curves from logistic regression models.Describe your proposed solution
Add
train_loss
as an attribute, same as e.g.classes_
orn_features_in_
.Describe alternatives you've considered, if relevant
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: