Metadata-Version: 1.1
Name: paso
Version: 0.4.1
Summary: A python package for data wrangling for models.
Home-page: https://github.com/bcottman/paso
Author: Bruce Cottman
Author-email: dr.bruce.cottman@gmail.com
License: MIT
Download-URL: https://github.com/bcottman/paso/archive/0.2.8.tar.gz
Description: 
        **paso** is a set of function and class method operations for data wrangling Machine
        for Learning and Deep Learning models.
        **paso** is Spanish for the English word step. A **paso** class or function is a step in your
        analysis pipeline. Because **paso** follows a protocol, the set of all operations in **paso** can be
        called a framework.
        Data engineers and Machine Learning Scientists appreciate the value of having their tools span
        across the data science workflow. The framework **paso** has been designed to fit in such all
        encompassing frameworks, as mlflow and Berkeley Data Analytics Stack(BDAS). It has been designed for
        pre-processing and post-processing data wrangling to and from learning packages such as PyTorch,
        Tensorflow, XGBoost and scikit-learn. It has been designed to work with a large number of evolving
        visialization tools such as facet, matplotlib, seaborn, Tensorboard, and plotly, to name just a few.
        You can contribute to the **paso** Project in many ways. Below are listed some of the areas:
        -  Fix a typo(s) in documentation.
        -  Improve some of the documentation.
        -  Fix typo or/and improve a docstring(s).
        -  Report a documentation bug.
        -  Improve existing test or/and code more tests.
        -  Execute test suite for a distribution candidate and report any test failures.
        -  Post a new issue.
        -  Fix a bug in a issue.
        -  Re-factor some code to add functionality or improve performance.
        -  Suggest a new feature.
        -  Implement a new feature.
        -  Improve or/and add a lesson.
        Remember to post in issues the proposed change and if accepted it will be closed. See
        `issues <https://github.com/bcottman/paso/issues>`__ or
        `projects <https://github.com/bcottman/paso/projects/1>`__ for open issues for the **paso** project.
        You can find a issue , or you can post a new issue, to work on. Next, or your alternative first
        step, you need to set-up your local **paso** development environment. Code, Documentat
        
Keywords: machine-learning,deep-learning,transformations,functional,data-analytics
Platform: UNKNOWN
