Metadata-Version: 2.1
Name: datafold
Version: 1.0.0
Summary: datafold processes high-dimensional data (point clouds or time series) to learn hidden geometric structures.
Home-page: https://datafold-dev.gitlab.io/datafold
Author: datafold development team
Author-email: daniel.lehmberg@hm.edu
License: MIT
Description: 
        datafold is a Python package consisting of *data*-driven algorithms with 
        mani*fold* assumption. That is to process high-dimensional data (including time series) 
        that lie on an (unknown) manifold with intrinsic lower-dimension.
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
