We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
sklearn.metrics.mean_squared_error
mean_squared_log_error
Only the squared parameter is deprecated (source, docs):
squared
@validate_params( { "y_true": ["array-like"], "y_pred": ["array-like"], "sample_weight": ["array-like", None], "multioutput": [StrOptions({"raw_values", "uniform_average"}), "array-like"], "squared": [Hidden(StrOptions({"deprecated"})), "boolean"], }, prefer_skip_nested_validation=True, ) def mean_squared_error( y_true, y_pred, *, sample_weight=None, multioutput="uniform_average", squared="deprecated", ):
This was originally reported at this Stack Overflow question.
The text was updated successfully, but these errors were encountered:
Sorry for the regression. I misunderstood what had been deprecated and mistakenly introduced this issue in #317.
Sorry, something went wrong.
Successfully merging a pull request may close this issue.
Only the
squared
parameter is deprecated (source, docs):This was originally reported at this Stack Overflow question.
The text was updated successfully, but these errors were encountered: