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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.

Metadata

Release files for surfaces-onnx-files 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for surfaces-onnx-files 0.0.1
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surfaces_onnx_files-0.0.1-py3-none-any.whl Python 3 none any Details

Release files / surfaces_onnx_files-0.0.1-py3-none-any.whl

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