Select specific AFIDs for training #18
Open
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
…rs (by ensuring MNI image used as priors is same as participant image) and produce a workable first iteration with current train workflow
Added flag `--afids-num`, enabling user to pass along a space-separated list to select specific AFIDs (e.g. `--afids-num 1 2` to select AFIDS 1 and 2 OR `--afids-num 1` to select AFID 1. If this parameter is not provided, training will be performed on all AFIDs.
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Outdated suggestions cannot be applied.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.
As the title suggests, this PR introduces a flag (
--afids-num) to the training workflow enabling the user to select specific AFID(s) for training. This may be particularly helpful when testing out the workflow or for some specific use cases. Specific AFID(s) can be selected by passing a space-separated list of the AFID numbers of interest.For example:
--afids-num 1will perform training only on AFID 1--afids-num 1 2will perform training on AFIDs 1 and 2.In the event this parameter is not provided, all 32 AFIDs will be trained.