Disttributed MLForecast needs a pandas data frame for predict when using exog features #507
Description
What happened + What you expected to happen
The DistributedMLForecast feature is to allow the development of scalable models, we have to convert the exog features to pandas before the predict functionality, then its sure to run out of memory. Please help avoid the conversion to pandas in the predict
Versions / Dependencies
mlforecast version 1.02
Reproduction script
This exact code does not work if the soze pf the data goes up The example code on MLforecast page
Issue Severity
None