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Model precision means that model data often only needs to be of type float32 or int32 data.
However, vertical stratify is currently converting data to float64 for its calculations. This is unnecessary for some usecases and too slow for some operational use cases.
AC:
Update stratify to accept and maintain data as float32.
See benfitzpatrick for more details.
The text was updated successfully, but these errors were encountered:
I tried converting to cython: floating (master...benfitzpatrick:float_32_preservation) but it didn't/doesn't work with the inheritance structure (fused type support + inheritance problem).
Model precision means that model data often only needs to be of type float32 or int32 data.
However, vertical stratify is currently converting data to float64 for its calculations. This is unnecessary for some usecases and too slow for some operational use cases.
AC:
See benfitzpatrick for more details.
The text was updated successfully, but these errors were encountered: