Directories
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| Path | Synopsis |
|---|---|
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Package inference calls a model server and turns its answer back into rows.
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Package inference calls a model server and turns its answer back into rows. |
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Package onnxscore evaluates small tabular ONNX models in pure Go: the linear models and tree ensembles scikit-learn and XGBoost export through skl2onnx and onnxmltools, with the preprocessing glue those exports carry.
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Package onnxscore evaluates small tabular ONNX models in pure Go: the linear models and tree ensembles scikit-learn and XGBoost export through skl2onnx and onnxmltools, with the preprocessing glue those exports carry. |
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Package recommend serves the recommendation models the hermod-ml worker trains (ml/worker/hermod_ml/recommend.py) in-process: it parses a version's artifact once and answers "which items next for this person" and "which items are like this one" from it, without a call to the worker.
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Package recommend serves the recommendation models the hermod-ml worker trains (ml/worker/hermod_ml/recommend.py) in-process: it parses a version's artifact once and answers "which items next for this person" and "which items are like this one" from it, without a call to the worker. |
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Package worker is Hermod's client for its hermod-ml worker: the Python process that holds datasets, trains models on them, exports each one to ONNX and serves it over the Open Inference Protocol.
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Package worker is Hermod's client for its hermod-ml worker: the Python process that holds datasets, trains models on them, exports each one to ONNX and serves it over the Open Inference Protocol. |
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