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To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

Home Page: https://arxiv.org/abs/1805.11783

License: Apache License 2.0

Jupyter Notebook 91.78% Python 8.22%

uncertainty-neural-networks uncertainty-estimation

trustscore's Introduction

To Trust Or Not To Trust A Classifier

This is not an officially supported Google product

Signal for model confidence for a trained classifier, computed based on labeled training examples and the classifier's hard predictions on these examples.

See https://arxiv.org/abs/1805.11783

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trustscore's Issues

trustscore_evaluation is missing?

I was able to build and install trustscore, but trustscore_evaluation is missing

I'm missing something? Readme doesn't help too much

ModuleNotFoundError: No module named 'trustscore_evaluation'

Thanks

in the notebook, filtering option "disagreement" do nothing

from the source, options are "none", "density" or "uncertainty"

bests.-

Would you like to release the code for reproducing results in Figure 3 and the Appendix?

Hi!

Would you like to release the code for reproducing results in Figure 3 and the Appendix? Especially those using convolutional neural networks

Thanks!

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