Metadata-Version: 2.0
Name: datafold
Version: 1.0.1
Summary: datafold is Python software for data-driven algorithms with manifold assumption
Home-page: https://datafold-dev.gitlab.io/datafold
Author: datafold development team
Author-email: daniel.lehmberg@hm.edu
License: MIT
Keywords: machine learning, dynamical system, data-driven, time series, time series regression, time series forecasting, manifold learning
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Provides-Extra: pydmd
Requires-Dist: matplotlib (>=3.2.0)
Requires-Dist: numexpr (<3.0.0,>=2.7.1)
Requires-Dist: numpy (>=0.18.0)
Requires-Dist: pandas (>=1.0.0)
Requires-Dist: scikit-learn (<0.23.0,>=0.22.1)
Requires-Dist: scipy (>=1.4.0)
Provides-Extra: pydmd
Requires-Dist: pydmd; extra == 'pydmd'

datafold is a Python package that provides data-driven models for point clouds to find an explicit manifold parametrization and to identify non-linear dynamical systems on these manifolds.


