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Enable custom loss, prediction targets, and reporting in scalar configs #442
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- Metrics CSV files get loaded only once for each call to print_metrics() - get_metric() now takes an optional threshold argument, so the computed optimal threshold can be reused
…coelh/custom-labels
Shruthi42
reviewed
Apr 21, 2021
Shruthi42
previously approved these changes
Apr 21, 2021
melanibe
approved these changes
Apr 21, 2021
Shruthi42
approved these changes
Apr 21, 2021
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Gives more flexibility for defining model configs with custom behaviour while leveraging the existing InnerEye workflows.
ScalarModelBase.target_namesto define custom prediction targets (defaults toclass_names).ScalarModelBase.get_posthoc_label_transform()to post-process loaded labels for computing losses and metrics and generating reports.ScalarLoss.CustomClassification/RegressionandScalarModelBase.get_loss_function().ModelConfigBase.generate_custom_report()