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Currently, we start a job for every model fitting procedure, which is optimal for compute-intensive model fitting procedures like neural networks. For simpler models, such as naive predictors and linear models, we should consider reverting to a loop or parallel execution on a single node to avoid allocation overhang
The text was updated successfully, but these errors were encountered:
Description of feature
Currently, we start a job for every model fitting procedure, which is optimal for compute-intensive model fitting procedures like neural networks. For simpler models, such as naive predictors and linear models, we should consider reverting to a loop or parallel execution on a single node to avoid allocation overhang
The text was updated successfully, but these errors were encountered: