New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

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

Jump to bottom

Allow the MDR scoring method to use arbitrary sklearn scoring metrics #3

Closed

rhiever opened this issue Jun 29, 2016 · 1 comment

Labels

Contributor

rhiever commented Jun 29, 2016

e.g. metrics from http://scikit-learn.org/stable/modules/classes.html#classification-metrics

rhiever added the enhancement label

TuanNguyen27 mentioned this issue

Update some tests for custom metrics #6

Merged

Contributor Author

rhiever commented Jul 13, 2016

Rename add_score to scoring_function
Allow the MDR.score function to take parameters for the custom scoring function. e.g.,

def score(self, features, classes, scoring_function=None, **scoring_function_kwargs):
    ...
    else:
            return scoring_function(classes, new_feature, **scoring_function_kwargs)

rhiever closed this as completed in

277a120

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment