General-purpose time-series ML library.
Project description
float16-sfogliatella
Sfogliatella is a general-purpose time-series machine learning library with Python API and CLI workflows for training, prediction, live inference, HPO, stacking, and model packaging.
Install
PyPI install (after release publish)
pip install float16-sfogliatella
pip package names are normalized, so float16_sfogliatella also resolves to the same distribution name.
If PyPI has not been published yet for the current version, install from source:
pip install "git+https://github.com/sigure-0424/Sfogliatella.git"
JAX GPU runtime is not pinned as a hard package dependency here. Install the matching JAX extra for your platform separately, for example:
pip install "jax[cuda12]"
PyPI release flow
- Bump
versioninpyproject.toml. - Create and publish a GitHub Release.
.github/workflows/publish-pypi.ymlbuilds and publishes to PyPI via Trusted Publishing.
Before first publish, configure PyPI Trusted Publisher for this repo/workflow on PyPI.
Quickstart
Python API:
from sfogliatella import train, predict
CLI:
sfog-train --help
python -m train --help
Project details
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