Uses the new FeTSChallengeTaskRunner implementation
Adapts the Custom Aggregation Functions to use a writable dataframe (i.e. for easy storage of metrics / globals)
Updated references to FeTS 2022 Training/Validation Data
Convert jupyter notebook to a script (for easier submission reproduction)
Tensorboard support and integration
Steps required before merge:
[ x ] - Flag to skip Hausdorff 95 metrics
[ x ] - Additional testing of code on CPU / GPU
[ x ] - Final verification of FeTS Challenge plan parameters
[ x ] - New aggregation function interface examples
[ x ] - Bring documentation up to date
Improvements to expect after merge:
[ ] - Launch collaborator's in their own process for faster training
This PR:
FeTSChallengeTaskRunner
implementationSteps required before merge: [ x ] - Flag to skip Hausdorff 95 metrics [ x ] - Additional testing of code on CPU / GPU [ x ] - Final verification of FeTS Challenge plan parameters [ x ] - New aggregation function interface examples [ x ] - Bring documentation up to date
Improvements to expect after merge: [ ] - Launch collaborator's in their own process for faster training