Extension to sklearn.metrics to allow metrics with multiple predictions.
Extension to sklearn.metrics to allow metrics for classifiers that output a top
Some classifiers output confidence levels for each class.
Oftentimes, you want to evaluate the performance of such classifiers assuming the correct prediction is the top
n predictions with the highest confidence level.
This library serves as an extension to the functions provided by sklearn.metrics to allow for evaluating classifiers that do not output a single prediction per sample, but rather a range of top predictions per sample.
The most straightforward way of installing
toppred is via pip:
pip3 install toppred
We provide an extensive documentation including installation instructions and reference at toppred.readthedocs.io.
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