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This PR changes how missing data for reward targets is identified. It fixes a bug where missing data causes the script to crash.
The issue seems to come from a column without valid values being misidentified as float column and the missing value is encoded as
NaN
. This was not identified as missing data since it only checks forNone
.With this PR, the pandas function
isna
is used to identify missing data.A similar approach was used in #435.
Since local tests are still running, I created this as draft PR. I will remove the draft status once the local run is successful.