semvec/pypi-packages huggingface dataset:
classification-simplified 0.0.1
An automatic classification module
License: MIT
Keywords: classification

This is a module built of python's famous packages. It takes an unprocessed dataframe, and removes the null values, standardizes it and predicts (KNN and LOGISTIC) for now. At the end prints the classsification report, confusion matrix and the test accuracy

Change Log

==========

0.0.1 (23/09/2021)
------------------

- First Release
antlr4-grun 0.4.1
Pure-Python replacement of `org.antlr.v4.gui.TestRig` (aka `grun`)
License: MIT
Requires Python: >=3.7,<4.0

Pure-Python replacement of the `antlr <https://www.antlr.org/>`__ test
rig, ``org.antlr.v4.gui.TestRig`` (aka ``grun``).

There are a few places this executable differs in the interest of better
or more Pythonic design. For example,

-  I use `click <https://click.palletsprojects.com/en/8.0.x/>`__'s
   conventions for CLI argument parsing, which have a double-dash for
   long-options, rather than Java's convention, which have a
   single-dash.

-  I use JSON strings to escape source lexemes. This is more elegant and
   is easily parsed in whatever next phase of processing exists.
PyREM 0.2.0
Python Remote Experiment Runner
License: MIT
Requires Python: >=3.4
Keywords: remote management,distributed,experiment

.. image:: https://travis-ci.org/emichael/PyREM.svg?branch=develop
    :target: https://travis-ci.org/emichael/PyREM
.. image:: https://coveralls.io/repos/emichael/PyREM/badge.svg?branch=develop&service=github
    :target: https://coveralls.io/github/emichael/PyREM?branch=develop
.. image:: https://readthedocs.org/projects/pyrem/badge/?version=latest
    :target: http://pyrem.readthedocs.org/en/latest/?badge=latest
.. image:: https://landscape.io/github/emichael/PyREM/develop/landscape.svg?style=flat
    :target: https://landscape.io/github/emichael/PyREM/develop
    :alt: Code Health
.. image:: https://gemnasium.com/emichael/PyREM.svg
    :target: https://gemnasium.com/emichael/PyREM

=====
PyREM
=====
*Python Remote Experiment Manager*

Python wrapper around common idioms for running processes on remote servers.

Installing
----------
Either install from PyPI (``pip install pyrem``), manually download the
package and install it with your favorite tool, or simply put the module in your
path and install the dependencies (``pip install -r requirements.txt``).

Documentation
-------------
You can see the documentation for both the current development version and the
latest release on `Read the Docs <http://pyrem.readthedocs.io/>`_.

Verifying Releases
------------------
You can verify the signature on my
`releases on PyPI <https://pypi.python.org/pypi/PyREM>`_ using my public key on
`Keybase <https://keybase.io/emichael>`_.

Contributing
------------
File issues or send pull requests on
`GitHub <https://github.com/emichael/PyREM>`_. If you do send a pull request,
please send it for the ``develop`` branch.

To build PyREM locally and run the tests, you will need to install the
development dependencies (``pip install -r requirements-dev.txt``).