Skip to main content

Machine learning tools to make a Data Scientist's work more efficient

Project description

.. image:: logo.png

verstack 3.8.0 is a set of Machine learning tools to make a Data Scientist's work efficient.

The package contains multiple tools for: training & tuning machine learning models, creating ensembles, working with datetime objects, data transformation & wrangling, imputing missing values, concurrency work and many more.

Please refer to the official documentation <https://verstack.readthedocs.io>_ for more information.

The project was created by Danil Zherebtsov in 2020.

It is currently maintained by a single contributor with occasional contributions by the active members of the community.

Installation


.. code-block:: console

  $ pip install verstack
  $ pip install --upgrade verstack


Dependencies
------------

- Python (>= 3.6)
- numpy
- pandas
- xgboost
- scikit-learn>=0.23.2,<=1.1.3
- lightgbm>=3.3.0,<=3.3.2
- optuna>=2.10.0,<=3.0.4
- plotly>=5.3.1,<=5.11.0
- matplotlib
- python-dateutil>=2.8.1,<=2.8.2
- holidays==0.11.3.1
- mlxtend
- tensorflow>=2.6.0,<=2.11.0
- keras>=2.6.0,<=2.11.0
- category_encoders>=2.4.0,<=2.5.1
- fastparquet

=======

Development
-----------

I welcome new contributors of all experience levels. verstack community goals are to be helpful, welcoming, and effective.
`Development Guide <https://scikit-learn.org/stable/developers/index.html>`_
based on scikit-learn best practices has detailed information about contributing code, documentation, tests, and more. 

Important links
---------------

- Official source code repo: https://github.com/DanilZherebtsov/verstack
- Issue tracker: https://github.com/DanilZherebtsov/verstack/issues

Source code
-----------

You can check the latest sources with the command::

    git clone https://github.com/DanilZherebtsov/verstack.git

Submitting a Pull Request
-------------------------

Before opening a Pull Request, have a look at the full Contributing page to make sure your code complies
with the following guidelines: https://scikit-learn.org/stable/developers/index.html

Communication
-------------

- Author email: danil.com@me.com
- `Author profile <https://www.linkedin.com/in/danil-zherebtsov/>`_
 
Citation
--------

If you use verstack in a media/research publication, we would appreciate citations to this repository.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

verstack-3.8.0.tar.gz (10.1 MB view details)

Uploaded Source

File details

Details for the file verstack-3.8.0.tar.gz.

File metadata

  • Download URL: verstack-3.8.0.tar.gz
  • Upload date:
  • Size: 10.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for verstack-3.8.0.tar.gz
Algorithm Hash digest
SHA256 07f63399ef435919d09c44e126fd7734fd0a7ec98f7c0fd49048833672a96ce3
MD5 9840ed74d339f02e8ef13c2b852f19bf
BLAKE2b-256 366723df160d5ec6483f27b05d74dcc57558d8bf804a3df50cc3ea394f691e3c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page