Metadata-Version: 2.1
Name: mbpls
Version: 1.0.2a1
Summary: An implementation of the most common partial least squares algorithm as multi-block methods
Home-page: https://github.com/b0nsaii/MBPLS
Author: Andreas Baum, Laurent Vermue
Author-email: <andba@dtu.dk>, <lauve@dtu.dk>
License: new BSD
Description: ## Partial Least Squares Package
        
        Info text here.
        
        ### Installation
        
        * `$ git clone https://github.com/b0nsaii/MBPLS.git`
        * Install options 
            * Install as developing package
                * Move to /directory/to/MBPLS
                * `$ pip install -e .`
            * Add the directory to your systempath
                * `$ export PYTHONPATH="/directory/to/MBPLS:$PYTHONPATH"
        * Now you can import the MBPLS class by typing\
        `from mbpls.mbpls import MBPLS`
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
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 :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Development Status :: 3 - Alpha
Requires-Python: >=3.5
Description-Content-Type: text/markdown
