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Question Results AutoML Benchmark Time #487

Answered by sebhrusen
cynthiamaia asked this question in Q&A
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Hi @cynthiamaia, you're correct, we measure training_time — i.e the space search time used by the framework to produce the best pipeline under given constraints — as we impose a constraint on it.
The prediction_time is then measured independently (when possible).
In that regard, duration is a purely technical metric as it may also include data preparation done before starting the training per se, as well as information extraction when the training and prediction are completed: we use it mainly to check unusual behaviours, and also because there's a technical hard limit imposed on this duration (after which the tool is trying to kill the framework's process(es)).

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Converted from issue

This discussion was converted from issue #482 on August 02, 2022 07:41.