fix: choose lighter dtype for distance and error stored values #3
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This PR tries to solve the following problem:
When traning macest on a large dataset, the step of pre-computing distances and errors requires a lot of memory. A simple solution would be to use lighter dtypes:
float32for distances andboolfor errorsSigned-off-by: Florent Rambaud [email protected]