This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 1.0.0 instead.
Reason given by maintainers: Early preview. Use decision-tune 1.0.0 or newer.
decision-tune
Train your own local decision model on your own data, with an honest report card.
Status: early development (0.0.x). Not usable yet. This release reserves the name and ships a CLI that only prints its status.
The plan: a local open-weight model drafts labels, you label a small answer key blind, decision-tune trains Laya on your Mac, and the model only leaves your machine through a report card that blocks known silent evaluation traps. Serving is through Ollaya.
pip install decision-tune # or: npx decision-tune
decision-tune
Use responsibly. Models you train with decision-tune are only as good as your data and answer key. Don't use them for high-stakes decisions about people (hiring, credit, housing, health, legal) without independent validation and any review the law requires. Provided "as is" under Apache-2.0, without warranty.
Apache-2.0.
1 maintainer
Metadata
1 maintainer
Release files for decision-tune 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | |
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| decision_tune-0.0.4.tar.gz | 8.4 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| decision_tune-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.1 kB
Release files / decision_tune-0.0.4.tar.gz
| Download URL | decision_tune-0.0.4.tar.gz |
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| Size | 8.4 kB |
| Tags | Source |
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| Tags | Python 3 |
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