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Model Repository
Hai-Anh Trinh edited this page Sep 24, 2020
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Model Repository is available out-of-the-box when you subclass from h1.Model
API e.g. model.persist()
and model.load()
. H1st knows how to persist/load Scikit-Learn and Keras models. A simple ML model example with persist/load is available in examples/HelloWorld/ml_model.py.
All you need to do is to set Please set MODEL_REPO_PATH
in the project's config.py
or calling h1.init(MODEL_REPO_PATH="s3://...")
. Model Repository supports local disk or S3 storage.