mirror of
https://github.com/vale981/ray
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What: This class adds a generic BatchPredictor class that offers an interface to run batch inference on Ray datasets. It takes a Predictor class and checkpoint as an input, and provides a predict(dataset) method to run scalable scoring inference. Why: Currently users have to implement scorers themselves. This is mostly boilerplate and prone to errors, so we should provide a simple solution instead. Note that this predictor also implements the Predictor interface. |
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| .. | ||
| ray | ||
| requirements | ||
| asv.conf.json | ||
| build-wheel-macos-arm64.sh | ||
| build-wheel-macos.sh | ||
| build-wheel-manylinux2014.sh | ||
| build-wheel-windows.sh | ||
| MANIFEST.in | ||
| README-building-wheels.md | ||
| requirements.txt | ||
| requirements_linters.txt | ||
| requirements_ml_docker.txt | ||
| setup.py | ||