Metadata-Version: 1.1
Name: kerasy
Version: 0.0.2
Summary: A set of python modules for machine learning and data mining especially in the biological field.
Home-page: https://iwasakishuto.github.io/Kerasy/doc
Author: Shuto Iwasaki
Author-email: cabernet.rock@gmail.com
License: MIT
Description: 
        
        .. image:: https://badge.fury.io/py/kerasy.svg
           :target: https://pypi.org/project/kerasy/0.0.1/
           :alt: PyPI version
        
        
        .. image:: https://badge.fury.io/gh/iwasakishuto%2Fkerasy.svg
           :target: https://github.com/iwasakishuto/Kerasy
           :alt: GitHub version
        
        
        .. image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000
           :target: https://github.com/iwasakishuto/Kerasy/blob/gh-pages/LICENSE
           :alt: license
        
        
        Kerasy
        ======
        
        I want to **deepen my understanding of deep learning** by imitating the sophisticated neural networks API, **Keras**.
        
        Keras
        ^^^^^
        
        ..
        
           .. image:: https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png
              :target: https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png
              :alt: Keras logo
        
        
           .. image:: https://travis-ci.org/keras-team/keras.svg?branch=master
              :target: https://travis-ci.org/keras-team/keras
              :alt: Build Status
        
        
           .. image:: https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000
              :target: https://github.com/keras-team/keras/blob/master/LICENSE
              :alt: license
        
           Keras is a high-level neural networks API, written in Python and capable of running on top of `TensorFlow <https://github.com/tensorflow/tensorflow>`_\ , `CNTK <https://github.com/Microsoft/cntk>`_\ , or `Theano <https://github.com/Theano/Theano>`_. It was developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.*
        
        
        How to generate the articles.
        -----------------------------
        
        .. code-block:: sh
        
           .Kerasy
           ├── MkDocs
           │   ├── MkDocs-important
           |   |   |   ├── img
           |   |   |   ├── theme
           │   │   │   └── index.md
           │   │   └── yml-templates.yml
           │   ├── site
           │   ├── MkDocs-src
           │   └── mkdocs.yml
           ├── README.md
           ├── doc
           ├── kerasy
           ├── pelican
           │   ├── Makefile
           │   ├── backdrop
           │   ├── pelican-src
           │   ├── pelican-works
           │   ├── pelicanconf.py
           │   └── publishconf.py
           └── pelican2mkdocs.py
        
        
        #. Prepare articles (\ ``.md`` or ``.ipynb``.) NOTE: article name (\ ``XXX.md``\ ) and Slug(\ ``YYY``\ ) must be the same.(XXX=YYY)
        #. Generate the html article by `\ ``pelican`` <https://docs.getpelican.com/en/stable/>`_.
           .. code-block:: sh
        
               # @Kerasy/pelican
               $ make html # pelican-src(.md, .ipynb) → pelican-works (.html)
        
        #. Move html files (made by pelican) to ``MkDocs-src`` as a ``.md`` style.
        #. Make a ``mkdocs.yml`` file
        
           * Paset from ``yml-templates.yml``
           * Get information from the Hierarchical structure of ``pelican-src``.
             .. code-block::
        
                  # @Kerasy
                  $ python pelican2mkdocs
        
        #. Generate the articles by ``mkdocs build``.
           .. code-block::
        
               # @Kerasy/MkDocs
               $ mkdocs build # MkDocs-src(.md) → site (.html)
        
        #. Copy some important static files (at ``MkDocs-important``\ ) to site dir
        #. Move ``MkDocs/site`` to ``doc``.
        
        **※ A program that performs these operations collectively is `\ ``GithubKerasy.sh`` <https://github.com/iwasakishuto/iwasakishuto.github.io/blob/master/ShellScripts/GithubKerasy.sh>`_.**
        
        Upload to PyPI
        --------------
        
        Create your account : `https://pypi.org/ <https://pypi.org/>`_
        
        .. code-block::
        
           # [Library packaging]
           # Normal. (source distribution.)
           # $ python setup.py sdist
           # wheel version. (Recommended.)
           $ python setup.py bdist_wheel
        
           # [Upload to PyPI]
           $ twine upload dist/*
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
