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There is now an error with aggregate per algorithm for the ml step. It only runs when for algorithms with multiple parameter combinations chosen; however, some of those parameter combinations can lead to outputs that are all empty, which can lead to the bug error from #117
One solution is using the summary.py file to determine if there are > 1 nonempty files and check that the outputs are all nonempty.
The text was updated successfully, but these errors were encountered:
There is now an error with aggregate per algorithm for the ml step. It only runs when for algorithms with multiple parameter combinations chosen; however, some of those parameter combinations can lead to outputs that are all empty, which can lead to the bug error from #117
One solution is using the summary.py file to determine if there are > 1 nonempty files and check that the outputs are all nonempty.
The text was updated successfully, but these errors were encountered: