semvec/pypi-packages huggingface dataset:
onehot 0.1.4
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
License: MIT
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/kmedian/onehot.svg?branch=master)](https://travis-ci.org/kmedian/onehot)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/onehot/master?urlpath=lab)

# onehot.OneHotDummy
One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.

[onehot.OneHotDummy](onehot/onehotdummy_class.py) does basically the same as [LabelEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html) and [OneHotEncoder](http://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html) combined. It is also inspired by [pandas.get_dummies](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.get_dummies.html) and in particular its ease of use. 



## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)


## Installation
The `onehot` [git repo](http://github.com/kmedian/onehot) is available as [PyPi package](https://pypi.org/project/onehot)

```
pip install onehot
```


## Usage
Check the [examples](examples) folder for notebooks.


## Commands
* Check syntax: `flake8 --ignore=F401`
<!-- * Run Unit Tests: `python -W ignore -m unittest discover` -->
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`


## Debugging
* Notebooks to profile python code are in the [profile](profile) folder


## Support
Please [open an issue](https://github.com/kmedian/onehot/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/onehot/compare/).
pytest-reporting 0.1.0
A plugin to report summarized results in a table format
License: MIT
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*

================
pytest-reporting
================

.. image:: https://img.shields.io/pypi/v/pytest-reporting.svg
    :target: https://pypi.org/project/pytest-reporting
    :alt: PyPI version

.. image:: https://img.shields.io/pypi/pyversions/pytest-reporting.svg
    :target: https://pypi.org/project/pytest-reporting
    :alt: Python versions

A plugin to report summarized results in a table format

----

This `pytest`_ plugin was generated with `Cookiecutter`_ along with `@hackebrot`_'s `cookiecutter-pytest-plugin`_ template.


Features
--------

* TODO


Requirements
------------

* TODO


Installation
------------

You can install "pytest-reporting" via `pip`_ from `PyPI`_::

    $ pip install pytest-reporting


Usage
-----

* TODO

Contributing
------------
Contributions are very welcome. Tests can be run with `tox`_, please ensure
the coverage at least stays the same before you submit a pull request.

License
-------

Distributed under the terms of the `MIT`_ license, "pytest-reporting" is free and open source software


Issues
------

If you encounter any problems, please `file an issue`_ along with a detailed description.

.. _`file an issue`: https://gitlab.com/too-many-programmers/pytest-reporting/issues
.. _`Cookiecutter`: https://github.com/audreyr/cookiecutter
.. _`@hackebrot`: https://github.com/hackebrot
.. _`MIT`: http://opensource.org/licenses/MIT
.. _`cookiecutter-pytest-plugin`: https://github.com/pytest-dev/cookiecutter-pytest-plugin
.. _`pytest`: https://github.com/pytest-dev/pytest
.. _`tox`: https://tox.readthedocs.io/en/latest/
.. _`pip`: https://pypi.org/project/pip/
.. _`PyPI`: https://pypi.org/project
thermoencoder 0.1.2
Thermometer Encoding for ordinal variables
License: MIT
Requires Python: >=3.6

[![Build Status](https://travis-ci.org/kmedian/thermoencoder.svg?branch=master)](https://travis-ci.org/kmedian/thermoencoder)
[![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/kmedian/thermoencoder/master?urlpath=lab)

# thermoencoder


## Table of Contents
* [Installation](#installation)
* [Usage](#usage)
* [Commands](#commands)
* [Support](#support)
* [Contributing](#contributing)


## Installation
The `thermoencoder` [git repo](http://github.com/kmedian/thermoencoder) is available as [PyPi package](https://pypi.org/project/thermoencoder)

```
pip install thermoencoder
```


## Usage
Check the [examples](http://github.com/kmedian/thermoencoder/examples) folder for notebooks.


```
X = [[0, 0], [1, 1], [3, 5]]  # two ordinal features with 3 samples
from thermoencoder import ThermoEncoder
enc = ThermoEncoder()
Z = enc.fit_transform(X)  # encode
X_back = enc.inverse_transform(Z)  # decode
```


## Commands
* Check syntax: `flake8 --ignore=F401`
* Run Unit Tests: `python -W ignore -m unittest discover`
* Remove `.pyc` files: `find . -type f -name "*.pyc" | xargs rm`
* Remove `__pycache__` folders: `find . -type d -name "__pycache__" | xargs rm -rf`
* Upload to PyPi: `python setup.py sdist upload -r pypi`
* Upload to PyPi with twine: `python setup.py sdist && twine upload -r pypi dist/*`


## Debugging
* Notebooks to profile python code are in the [profile](profile) folder


## Support
Please [open an issue](https://github.com/kmedian/thermoencoder/issues/new) for support.


## Contributing
Please contribute using [Github Flow](https://guides.github.com/introduction/flow/). Create a branch, add commits, and [open a pull request](https://github.com/kmedian/thermoencoder/compare/).