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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

  1. Bump version in pyproject.toml.
  2. Create and publish a GitHub Release.
  3. .github/workflows/publish-pypi.yml builds 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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