Metadata-Version: 1.2
Name: bfast
Version: 0.4
Summary: A Python library for Breaks For Additive Season and Trend (BFAST) that resorts to parallel computing for accelerating the computations.
Home-page: http://www.bfast.pydata.org
Maintainer: Fabian Gieseke
Maintainer-email: fabian.gieseke@di.ku.dk
License: GNU GENERAL PUBLIC LICENSE
Download-URL: https://github.com/gieseke/bfast
Description: =====
        bfast
        =====
        
        The bfast package provides a highly-efficient parallel implementation for the `Breaks For Additive Season and Trend (BFASTmonitor) <http://bfast.r-forge.r-project.org>`_ proposed by Verbesselt et al. The implementation is based on `OpenCL <https://www.khronos.org/opencl>`_. 
        
        =============
        Documentation
        =============
        
        See the `documentation <http://bfast.readthedocs.org>`_ for details and examples.
        
        ============
        Dependencies
        ============
        
        The bfast package has been tested under Python 3.*. The required Python dependencies are:
        
        - numpy==1.16.3
        - pandas==0.24.2
        - pyopencl==2018.2.5
        - scikit-learn==0.20.3
        - scipy==1.2.1
        - matplotlib==2.2.2
        - wget==3.2
        - Sphinx==2.2.0
        - sphinx-bootstrap-theme==0.7.1
        
        Further, `OpenCL <https://www.khronos.org/opencl>`_ needs to be available.
        
        ==========
        Quickstart
        ==========
        
        The package can easily be installed via pip via::
        
          pip install bfast
        
        To install the package from the sources, first get the current stable release via::
        
          git clone https://github.com/gieseke/bfast.git
        
        Afterwards, on Linux systems, you can install the package locally for the current user via::
        
          python setup.py install --user
        
        ==========
        Disclaimer
        ==========
        
        The source code is published under the GNU General Public License (GPLv3). The authors are not responsible for any implications that stem from the use of this software.
        
        
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
