Metadata-Version: 2.1
Name: tensap
Version: 1.2
Summary: Tensor Approximation Package: a Python package for the approximation of functions and tensors.
Home-page: https://anthony-nouy.github.io/tensap/
Author: Anthony Nouy, Erwan Grelier
Author-email: anthony.nouy@ec-nantes.fr
License: UNKNOWN
Description: [![Build Status](https://github.com/anthony-nouy/tensap/actions/workflows/build.yml/badge.svg?branch=master)](https://github.com/anthony-nouy/tensap/actions/workflows/build.yml)
        [![codecov](https://codecov.io/gh/anthony-nouy/tensap/branch/master/graph/badge.svg)](https://codecov.io/gh/anthony-nouy/tensap)
        [![Doc](https://readthedocs.org/projects/spack/badge/?version=latest)](https://anthony-nouy.github.io/sphinx/tensap/master/)
        
        
        # tensap (Tensor Approximation Package)
        
        A Python package for the approximation of functions and tensors.
        
        tensap features low-rank tensors (including canonical, tensor-train and tree-based tensor formats or tree tensor networks), sparse tensors, polynomials, and allows the plug-in of other approximation tools. It provides different approximation methods based on interpolation, least-squares projection or statistical learning.
        
        See the tutorials folder and its subfolders for examples of use.
        
        Install from PyPi:
        
        ```
        pip install tensap
        ```
        
        
        Install from conda:
        
        ```
        conda config --add channels conda-forge
        conda config --set channel_priority strict
        conda install tensap
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
