Metadata-Version: 2.1
Name: mlshell
Version: 0.0.1
Summary: Shell around Ml libraries.
Home-page: https://github.com/nizaevka/mlshell
Author: nizaevka
Author-email: nizaevka@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://mlshell.readthedocs.io/
Project-URL: Source, https://github.com/nizaevka/mlshell
Project-URL: Tracker, https://github.com/nizaevka/mlshell/issues
Description: ALPHA UNDERCONSTRUCTED
        <div align="center">
        
        [![Mlshell logo](pictures/mlshell_logo.PNG?raw=true)](https://github.com/nizaevka/mlshell)
        
        **Unified ML framework**
        
        [![Build Status](https://travis-ci.org/nizaevka/mlshell.svg?branch=master)](https://travis-ci.org/nizaevka/mlshell)
        [![PyPi version](https://img.shields.io/pypi/v/mlshell.svg)](https://pypi.org/project/mlshell/)
        [![PyPI Status](https://pepy.tech/badge/mlshell)](https://pepy.tech/project/mlshell)
        [![Docs](https://readthedocs.org/projects/mlshell/badge/?version=latest)](https://mlshell.readthedocs.io/en/latest/)
        [![Telegram](https://img.shields.io/badge/channel-on%20telegram-blue)](https://t.me/nizaevka)
        
        </div>
        
        **MLshell** is a framework for ML research and development:
        - Fast and simple pipeline prototyping and parameters tuning.
        - Unified ml pipeline.
        - Stable CV scheme.
        - Production ready.
        - One conf file rule all.
        - Simple result analyse.
        - Unified plots.
        - Common EDA techniques.
        - Pure python.
        
        [![Workflow](docs/source/_static/images/workflow.JPG?raw=true)]()
        
        For details, please refer to
         [Concepts](https://mlshell.readthedocs.io/en/latest/Concepts.html>).
        
        --
        
        ## Installation
        
        #### PyPi [![PyPi version](https://img.shields.io/pypi/v/mlshell.svg)](https://pypi.org/project/mlshell/) [![PyPI Status](https://pepy.tech/badge/mlshell)](https://pepy.tech/project/mlshell)
        
        ```bash
        pip install -U mlshell
        ```
        
        <details>
        <summary>Specific versions with additional requirements</summary>
        <p>
        
        ```bash
        pip install catalyst[dev]        # installs dependencies for development
        ```
        </p>
        </details>
        
        #### Docker [![Docker Pulls](https://img.shields.io/docker/pulls/nizaevka/mlshell)](https://hub.docker.com/r/nizaevka/mlshell/tags)
        
        ```bash
        docker run -it nizaevka/mlshell
        ```
        
        MLshell is compatible with: Python 3.6+.
        
        
        ## Getting started
        
        ```python
        import mlshell
        ```
        see Docs for details ;)
        
        ## Docs and examples
        An overview and API documentation can be found here
        [![Docs](https://readthedocs.org/projects/mlshell/badge/?version=latest)](https://readthedocs.org/mlshell/en/latest/?badge=latest)
        
        Check **[examples folder](examples)** of the repository:
        - For regression example please follow [Allstate claims severity](examples/regression).
        - For classification example please follow [IEEE-CIS Fraud Detection](examples/classification).
        
        ## Contribution guide
        
        We appreciate all contributions.
        If you are planning to contribute back bug-fixes,
        please do so without any further discussion.
        If you plan to contribute new features, utility functions or extensions,
        please first open an issue and discuss the feature with us.
        
        - Please see the [contribution guide](CONTRIBUTING.md) for more information.
        - By participating in this project, you agree to abide by its [Code of Conduct](CODE_OF_CONDUCT.md).
        
        ## License
        
        This project is licensed under the Apache License, Version 2.0 see the [LICENSE](LICENSE) file for details
        [![License](https://img.shields.io/github/license/nizaevka/mlshell.svg)](LICENSE)
Keywords: ml sklearn
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: dev
