Metadata-Version: 2.1
Name: qbiome
Version: 0.0.8
Summary: Analyzing microbiome abundance data to infer deep structures
Home-page: https://github.com/zeroknowledgediscovery/qbiome
Author: zed.uchicago.edu
Author-email: ishanu@uchicago.edu
License: LICENSE
Download-URL: https://github.com/zeroknowledgediscovery/qbiome/archive/0.0.8.tar.gz
Description: ===============
        cynet
        ===============
        
        .. figure:: https://img.shields.io/pypi/dm/cynet.svg
           :alt: cynet PyPI Downloads
        .. figure:: https://img.shields.io/pypi/v/cynet.svg
           :alt: cynet version
        
        .. image:: http://zed.uchicago.edu/logo/logozed1.png
           :height: 400px
           :scale: 50 %
           :alt: alternate text
           :align: center
        
        
        .. class:: no-web no-pdf
        
        :Info: See <https://arxiv.org/abs/1406.6651> for theoretical background
        :Author: ZeD@UChicago <zed.uchicago.edu>
        :Description: Implementation of the Deep Granger net inference algorithm, described in https://arxiv.org/abs/1406.6651, for learning spatio-temporal stochastic processes (*point processes*). **cynet** learns a network of generative local models, without assuming any specific model structure.
        
        .. NOTE:: If issues arise with dependencies in python3, be sure that *tkinter* is installed
        
Keywords: microbiome,decision trees,machine learning,computational biology
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Python: >=3.6
Description-Content-Type: text/x-rst
