V1.5.0 dev #44
Merged
V1.5.0 dev #44
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Avoid repeat processing.
Properly set --return-attentions when --write-attention-images is set.
The calibrator mimics the predict_proba function of the scikit-learn calibrator exactly, which is all we need for inference. This way I can get rid of the scikit-learn dependency. Add regression test for the calibrator(s). Add "prob" output from Sybil (sigmoid of "logit") which will make downstream processing easier. Switch Sybil class to using custom calibrator.
…ly selected group of NLST CT scans.
Set default URL to a dropbox location with v1.5.0 calibrators.
…at of a single slice
…on't already exist.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Add custom calibrator.
The calibrator mimics the predict_proba function of the scikit-learn calibrator exactly, which is all we need for inference. This way I can get rid of the scikit-learn dependency. Also add regression test for the calibrator(s).
Add "prob" output from Sybil (sigmoid of "logit") which will make downstream processing easier.
Switch Sybil class to using custom calibrator.