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A common pattern when loading experiments is to pick some data for each experiment (such as the accuracy) and process it for each experiment (for example, storing it into a dataframe).
With the current code, in order to do that we have to first load all experiments into memory and then iterate over them. This is memory-expensive, and I had not enough memory in my machine for doing that for a (rather large) collection of experiments.
However, a lazy way to iterate over the experiments in the query can be provided, so that only one experiment needs to be created at a time.
The text was updated successfully, but these errors were encountered:
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Add interface to load experiments lazy from a query
Add interface to load experiments lazily from a query
Aug 18, 2023
A common pattern when loading experiments is to pick some data for each experiment (such as the accuracy) and process it for each experiment (for example, storing it into a dataframe).
With the current code, in order to do that we have to first load all experiments into memory and then iterate over them. This is memory-expensive, and I had not enough memory in my machine for doing that for a (rather large) collection of experiments.
However, a lazy way to iterate over the experiments in the query can be provided, so that only one experiment needs to be created at a time.
The text was updated successfully, but these errors were encountered: