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https://github.com/rodrigo-arenas/scikit-pipes

Scikit-Learn useful pre-defined Pipelines Hub
https://github.com/rodrigo-arenas/scikit-pipes

beginner-friendly good-first-issue help-wanted help-welcome machine-learning pipeline-framework scikit-learn scikit-learn-pipelines sklearn sklearn-pipeline

Last synced: about 1 month ago
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Scikit-Learn useful pre-defined Pipelines Hub

Host: GitHub
URL: https://github.com/rodrigo-arenas/scikit-pipes
Owner: rodrigo-arenas
License: mit
Created: 2021-11-26T16:28:59.000Z (about 3 years ago)
Default Branch: master
Last Pushed: 2021-11-30T23:23:19.000Z (about 3 years ago)
Last Synced: 2024-12-15T13:50:51.314Z (about 2 months ago)
Topics: beginner-friendly, good-first-issue, help-wanted, help-welcome, machine-learning, pipeline-framework, scikit-learn, scikit-learn-pipelines, sklearn, sklearn-pipeline
Language: Python
Homepage:
Size: 49.8 KB
Stars: 1
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.rst
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        .. -*- mode: rst -*-

|Tests|_ |Codecov|_ |PythonVersion|_ |PyPi|_ |Docs|_

.. |Tests| image:: https://github.com/rodrigo-arenas/scikit-pipes/actions/workflows/ci-tests.yml/badge.svg?branch=master

.. _Tests: https://github.com/rodrigo-arenas/scikit-pipes/actions/workflows/ci-tests.yml

.. |Codecov| image:: https://codecov.io/gh/rodrigo-arenas/scikit-pipes/branch/master/graphs/badge.svg?branch=master&service=github

.. _Codecov: https://codecov.io/github/rodrigo-arenas/scikit-pipes?branch=master

.. |PythonVersion| image:: https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9-blue

.. _PythonVersion : https://www.python.org/downloads/

.. |PyPi| image:: https://badge.fury.io/py/scikit-pipes.svg

.. _PyPi: https://badge.fury.io/py/scikit-pipes

.. |Docs| image:: https://readthedocs.org/projects/scikit-pipes/badge/?version=latest

.. _Docs: https://scikit-pipes.readthedocs.io/en/latest/?badge=latest

.. |Contributors| image:: https://contributors-img.web.app/image?repo=rodrigo-arenas/scikit-pipes

.. _Contributors: https://github.com/rodrigo-arenas/scikit-pipes/graphs/contributors

.. image:: https://github.com/rodrigo-arenas/scikit-pipes/blob/master/docs/images/logo16.png?raw=true

   :width: 100

Scikit-Pipes

############

Scikit-Learn practical pre-defined Pipelines Hub.

This package is still at an experimental stage.

Usage:

######

Install scikit-pipes

We advise to install scikit-pipes using a virtual env, inside the env use::

   pip install scikit-pipes

Example: Simple Preprocessing

#############################

.. code-block:: python

    import pandas as pd

    import numpy as np

    from skpipes.pipeline import SkPipeline

    data = [{"x1": 1, "x2": 400, "x3": np.nan},

            {"x1": 4.8, "x2": 250, "x3": 50},

            {"x1": 3, "x2": 140, "x3": 43},

            {"x1": 1.4, "x2": 357, "x3": 75},

            {"x1": 2.4, "x2": np.nan, "x3": 42},

            {"x1": 4, "x2": 287, "x3": 21}]

    df = pd.DataFrame(data)

    pipe = SkPipeline(name='median_imputer-minmax',

                      data_type="numerical")

    pipe.steps

    str(pipe)

    pipe.fit(df)

    pipe.transform(df)

    pipe.fit_transform(df)

Changelog

#########

See the `changelog `__

for notes on the changes of Sklearn-pipes

Important links

###############

- Official source code repo: https://github.com/rodrigo-arenas/scikit-pipes/

- Download releases: https://pypi.org/project/scikit-pipes/

- Issue tracker: https://github.com/rodrigo-arenas/scikit-pipes/issues

- Stable documentation: https://scikit-pipes.readthedocs.io/en/stable/

Source code

###########

You can check the latest development version with the command::

   git clone https://github.com/rodrigo-arenas/scikit-pipes.git

Install the development dependencies::

  pip install -r dev-requirements.txt

Check the latest in-development documentation: https://scikit-pipes.readthedocs.io/en/latest/

Contributing

############

Contributions are always welcome!

If you want to contribute, make sure to read the `Contribution guide `_.

Thanks to the people who are helping with this project!

|Contributors|_

Testing

#######

After installation, you can launch the test suite from outside the source directory::

   pytest skpipes