Metadata-Version: 1.1
Name: autocontrol
Version: 1.0.0
Summary: ...
Home-page: https://github.com/matuseviciute/autoCorrect
Author: Agne Matuseviciute
Author-email: agne.matuseviciute@tum.de
License: MIT license
Description-Content-Type: UNKNOWN
Description: ========
        Overview
        ========
        
        
        
        
        
        * Free software: MIT license
        
        Activate virtual environment
        ==================
        Together with the autoCorrection package you will get
        
                'tensorflow',
                'toolz',
                'keras',
                'numpy',
                'kopt',
                'scipy',
                'h5py',
                'sklearn',
                'dask',
                'pandas',
                'statsmodels'
        
        packages automatically installed, if not present.
        
        If you don't wannt to install these packages globally, please use virtual environment.
        
        If you have problems with virtualenv, installing using conda may help:
        
        (Installation of conda: https://conda.io/docs/user-guide/install/index.html)
        
        Make sure you are using python 3.
        
            conda create -n mypyth3 python=3.6
        
            source activate mypyth3
        
            conda install virtualenv
        
        activate new environment in active python 3 environment:
        
            virtualenv env-with-autoCorrection
        
            source env-with-autoCorrection/bin/activate
        
        Check if you are still using python 3:
        
            python --version
        
        
        Package Installation
        ============
        
        ::
        
            pip install autocontrol
        
        
        Deactivate virtual environment
        ============
        
        ::
        
            deactivate
        
        Usage
        ============
        
        ::
        
            #in python:
            python
            import autocontrol
            import numpy as np
            counts = np.random.negative_binomial(n = 20, p=0.2, size = (10,8))
            sf = np.ones((10,8))
            corrector = autocontrol.correctors.AECorrector()
            c = corrector.correct(counts = counts, size_factors = sf)
        
            #in R:
            library(reticulate)
            autoCorrection <- import("autocontrol")
            corrected <- autoCorrection$correctors$AECorrector(model_name, model_directory)$correct(COUNTS, SIZE_FACTORS, only_predict=FALSE)
        
        Documentation
        =============
        
        https://i12g-gagneurweb.in.tum.de/public/docs/autocontrol/
        
        
        
        
        Changelog
        =========
        
        0.0.1 (2017-11-01)
        ------------------
        
        * First release on PyPI.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Utilities
