Pre-trained ONNX surrogate models for the surfaces library
Project description
surfaces-onnx-files
Pre-trained ONNX surrogate models for the surfaces library.
Installation
This package is typically installed as a dependency of surfaces:
pip install surfaces[surrogates]
Or install directly:
pip install surfaces-onnx-files
Contents
This package provides pre-trained ONNX models for fast surrogate evaluation of machine learning test functions:
| Model | Description |
|---|---|
| k_neighbors_regressor | KNN regressor surrogate |
| k_neighbors_classifier | KNN classifier surrogate |
| gradient_boosting_regressor | Gradient boosting regressor surrogate |
Usage
Once installed, the surfaces library automatically detects and uses this package:
from surfaces import load_surrogate
surrogate = load_surrogate("k_neighbors_regressor")
if surrogate:
result = surrogate.predict({"n_neighbors": 5, "leaf_size": 30, ...})
License
MIT License - See LICENSE.
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