ML-SFA

Machine Learning approaches to Stochastic Frontier Analysis.

Installation

pip install ml-sfa

# With neural network support
pip install ml-sfa[nn]

# With BART-SFM support
pip install ml-sfa[bart]

Development

uv sync --frozen --dev
make ci

License

MIT

Project links

Data verified by PyPI on Mar 22, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

PyPI data
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Avatar for nbx from gravatar.com nbx

Credits

Author: nbx

GitHub Statistics

Data verified by PyPI on Mar 22, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Provides Extra

bart nn

Classifiers

Report project as malware

Metadata

Project links

Data verified by PyPI on Mar 22, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nbx from gravatar.com nbx

Credits

Author: nbx

GitHub Statistics

Data verified by PyPI on Mar 22, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Provides Extra

bart nn

Classifiers

Report project as malware

Release files for ml-sfa 0.1.0

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Source distribution for ml-sfa 0.1.0
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Release files / ml_sfa-0.1.0.tar.gz

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Size 228.0 kB
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github.com/nbx-liz/ML-SFA/tree/369f713f24d3ddd82049bc057308025372ec3073
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github.com/nbx-liz/ML-SFA/blob/369f713f24d3ddd82049bc057308025372ec3073/.github/workflows/release.yml
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ml_sfa-0.1.0.tar.gz
SHA-256 checksum
14fbe49dc8080a4a1c3448452b39658bead4ed6925e9b839a3a948796da57401 Verifying attestations

Release files / ml_sfa-0.1.0-py3-none-any.whl

Download URL ml_sfa-0.1.0-py3-none-any.whl
Size 34.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums 		8b7cadd5505db6a69341a4b91960fe669c3b0203289765e585bff4d12f818e3b
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Uploaded via twine/6.1.0 CPython/3.13.7

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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

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GitHub Actions
Publishing repository
github.com/nbx-liz/ML-SFA
Publishing commit
github.com/nbx-liz/ML-SFA/tree/369f713f24d3ddd82049bc057308025372ec3073
Workflow
Publishing configuration
github.com/nbx-liz/ML-SFA/blob/369f713f24d3ddd82049bc057308025372ec3073/.github/workflows/release.yml
Publishing logs
github.com/nbx-liz/ML-SFA/actions/runs/23400599873/attempts/1
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ml_sfa-0.1.0-py3-none-any.whl
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This release

0.1.0 This release

2 release files

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