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by aaron-santos
2418 days ago
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It's been great seeing this space fill out with solutions in the last year. MLFlow[1] is another open source solution I have my eyes on. BentoML looks more cohesive than our homegrown solution because it targets a more general case. One of the things I would miss switching to BentoML would be automatic requirements generation. We use pipreqs[2] to generate a requirements.txt given a model instance. Any thoughts on the difficulty as a user in extending BentoML as to integrate pipreqs? Again another difficulty question: we have a few statsmodels[3] predictors and it isn't clear how much work would be involved extending BentoML to accept those too. Thanks for pointing out BentoML. I'll keep an eye on it as a migration target as this space develops. [1] https://mlflow.org/docs/latest/index.html [2] https://github.com/bndr/pipreqs [3] https://www.statsmodels.org/stable/index.html |
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It should be very straightforward adding support for saving/loading Statsmodels in BentoML. In fact you should also be able to just use the existing "PickleArtifact" in BentoML for statsmodel predictors too. We will add an example notebook for working with Statsmodels library soon!