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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.

Project details


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