Scoring
On top of scikit-learn scoring parameter options, julearn extends the functionality with more internal scorers and the possibility to define custom scorers.
Internal Scorers
Name (str) |
Description |
|---|---|
|
Pearson product-moment correlation coefficient (squared), as computed by numpy.corrcoef |
Custom Scorers
julearn allows the user to define any function and use it as a scorer in the same way scikit-learn or julearn internal scorers work.
In the example Custom Scoring Function for Regression you can see how to make use of this functionality.