A set of python modules for Natural Language Processing
Project description
============
Sklearn Plus
============
.. image:: https://img.shields.io/pypi/v/sklearn_plus.svg
:target: https://pypi.python.org/pypi/sklearn_plus
.. image:: https://api.travis-ci.org/ybbaigo/sklearn-plus.svg
:target: https://travis-ci.org/ybbaigo/sklearn_plus
.. image:: https://readthedocs.org/projects/sklearn-plus/badge/?version=latest
:target: https://sklearn-plus.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
A set of python modules for Natural Language Processing
* Free software: MIT license
* Documentation: https://sklearn-plus.readthedocs.io.
Sklearn plus
----------------
Sklearn plus is an end-to-end neural network API, written in Python. Currently we focus on Natural Language Processing(NLP) tasks. It is based on Tensoflow_ and scikit-learn_. It assembles many preprocessing function, utils and deep learning models about NLP tasks.
It was developed with a focus on expanding sklearn and making using deep learning model to handle NLP tasks easier.
Features
----------------
**End-To-End**. Sklearn plus is based on Tensorflow and implements many classical models. Also it offers easy and consistent API with sklearn style for specific NLP task.
**Easy extensibility**. Sklearn plus inherits sklearn base classes and follows sklearn API design principles. It is easy to assemble new models, preprocessing functions and utils in it.
.. _Tensoflow: https://www.tensorflow.org/
.. _scikit-learn: http://scikit-learn.org/stable/
Quick Start
----------------
* TODO
Installation
----------------
There are two ways to install Sklearn plus:
1. **Install sklearn plus from PyPI(recommended)**:
::
sudo pip install sklearn-plus
If you are using a virtualenv, you may want to avoid using sudo:
::
pip install sklearn-plus
2. **Install sklearn plus from the GitHub source:**
::
git clone https://github.com/ybbaigo/sklearn-plus.git
cd sklearn-plus
sudo python setup.py install
Contributing pull requests
--------------------------------
Here's a quick guide to submitting your improvements:
1. **Write the code.** There are three base modules in sklearn plus: preprocess, utils and nerual_network. Write your code in the three modules and reference to the samples in them. We use PEP8 syntax conventions.
2. **Write the docstrings.** Make sure any code you touch still has up-to-date docstrings and documentation. Please follow the numpydoc_style_.
3. **Write tests.** Your code should have full unit test coverage. If you want to see your PR merged promptly, this is crucial.
4. **Make sure all tests are passing.** Make sure your code tests can pass on Python 2.7 and Python 3.6 with Tensorflow 1.1.0.
5. **Make sure that your PR does not add PEP8 violations.** Make sure that your PR does not add PEP8 violations you can check it by flake8_:
* install flake8: ```pip install flake8```
* check: ```flake8 path/to/code/```
6. **Commit, use appropriate, descriptive commit messages.**
7. **Submit your PR.** If you have complete (and passing) unit tests as well as proper docstrings/documentation, your PR is likely to be merged promptly.
.. _numpydoc_style: https://numpydoc.readthedocs.io/en/latest/format.html#overview
.. _flake8: http://flake8.pycqa.org/en/latest/index.html#quickstart)
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
Sklearn Plus
============
.. image:: https://img.shields.io/pypi/v/sklearn_plus.svg
:target: https://pypi.python.org/pypi/sklearn_plus
.. image:: https://api.travis-ci.org/ybbaigo/sklearn-plus.svg
:target: https://travis-ci.org/ybbaigo/sklearn_plus
.. image:: https://readthedocs.org/projects/sklearn-plus/badge/?version=latest
:target: https://sklearn-plus.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
A set of python modules for Natural Language Processing
* Free software: MIT license
* Documentation: https://sklearn-plus.readthedocs.io.
Sklearn plus
----------------
Sklearn plus is an end-to-end neural network API, written in Python. Currently we focus on Natural Language Processing(NLP) tasks. It is based on Tensoflow_ and scikit-learn_. It assembles many preprocessing function, utils and deep learning models about NLP tasks.
It was developed with a focus on expanding sklearn and making using deep learning model to handle NLP tasks easier.
Features
----------------
**End-To-End**. Sklearn plus is based on Tensorflow and implements many classical models. Also it offers easy and consistent API with sklearn style for specific NLP task.
**Easy extensibility**. Sklearn plus inherits sklearn base classes and follows sklearn API design principles. It is easy to assemble new models, preprocessing functions and utils in it.
.. _Tensoflow: https://www.tensorflow.org/
.. _scikit-learn: http://scikit-learn.org/stable/
Quick Start
----------------
* TODO
Installation
----------------
There are two ways to install Sklearn plus:
1. **Install sklearn plus from PyPI(recommended)**:
::
sudo pip install sklearn-plus
If you are using a virtualenv, you may want to avoid using sudo:
::
pip install sklearn-plus
2. **Install sklearn plus from the GitHub source:**
::
git clone https://github.com/ybbaigo/sklearn-plus.git
cd sklearn-plus
sudo python setup.py install
Contributing pull requests
--------------------------------
Here's a quick guide to submitting your improvements:
1. **Write the code.** There are three base modules in sklearn plus: preprocess, utils and nerual_network. Write your code in the three modules and reference to the samples in them. We use PEP8 syntax conventions.
2. **Write the docstrings.** Make sure any code you touch still has up-to-date docstrings and documentation. Please follow the numpydoc_style_.
3. **Write tests.** Your code should have full unit test coverage. If you want to see your PR merged promptly, this is crucial.
4. **Make sure all tests are passing.** Make sure your code tests can pass on Python 2.7 and Python 3.6 with Tensorflow 1.1.0.
5. **Make sure that your PR does not add PEP8 violations.** Make sure that your PR does not add PEP8 violations you can check it by flake8_:
* install flake8: ```pip install flake8```
* check: ```flake8 path/to/code/```
6. **Commit, use appropriate, descriptive commit messages.**
7. **Submit your PR.** If you have complete (and passing) unit tests as well as proper docstrings/documentation, your PR is likely to be merged promptly.
.. _numpydoc_style: https://numpydoc.readthedocs.io/en/latest/format.html#overview
.. _flake8: http://flake8.pycqa.org/en/latest/index.html#quickstart)
Credits
-------
This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sklearn_plus-0.0.5.tar.gz
(16.2 kB
view hashes)
Built Distribution
Close
Hashes for sklearn_plus-0.0.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4d3fc6bf62c932cae0f4d3f382cd8f1e57453c4ceb759a9bd82bf4fc15573524 |
|
MD5 | ec0bb9042c2cba3f32c8ed4a89298d39 |
|
BLAKE2b-256 | e2d707e48748fd61229052961fd4da1b17844d8739cbf5d10b872346d11639c2 |