semvec/pypi-packages huggingface dataset:
MultiColumnLabelEncoder 1.1.3
Label Encoder which is used for encoding multiple categorical columns in a dataframe and inversing it
Requires Python: >=3.6

# MultiColumnLabelClassification

## Description:
For categorical Data, Encoding data is an important step, as various Machine Learning models will not work for textual data. So in existing encoding methods, which are already available, After transforming the data and encoding it, I found Inverse Transforming it is too hard, when Multiple categorical columns are encoded. And while we are developing machine learning models, we need to do label encoding for training and testing data, and they should be in sync to transform them back to original form. So Unable to find an easy existing approach to perform it, I have built this small module, to help myself when I am encoding data in Machine Learning Using python. 

## Usage:

1. For Encoding the data:

    Import the label encoder:

        import MultiColumnLabelEncoder

    Using the label encoder:

        le = MultiColumnLabelEncoder()
        encoded_dataframe = le.fit_transform(dataframe)

        [Note: columns argument can also be passed if we want encoding only for certain columns. By default it will be none and it will encode all the categorical columns]

    Using the inverse label encoder:

        inverse_encoded_dataframe = le.inverse_fit_transform(encoded_dataframe)

        [Note: columns argument can also be passed if we want inverse encoding only for certain columns. By default it will be none and it will encode all the categorical columns]
simple-storage-service 0.0.5
Assist in the handling of files on storages from different providers.
Requires Python: >=3.6

# simple-storage-service

This package is intended to assist in the handling of files on storages from different providers.

Currently, this project supports 3 providers: AWS, Azure and GCP.

## Getting started

### Install

```sh
pip install storage-service
```

### Initialize a storage provider

```python
from simple_storage_service import SimpleStorage

simple_storage = SimpleStorage.initialize('GCP', {'bucket_name': 'some-bucket'})
simple_storage.get_object('some-key')
simple_storage.upload_object('some-key', 'path/to/file.txt')
```

## Colaborating

### Run tests

python -m unittest discover tests

## Deploy

### Change version on setup.py

### Remove previous version

```sh
rm -rf dist
```

### Build project

```sh
python -m build
```

### Upload project

```sh
python -m twine upload dist/*
```
LachoPri 0.1
primos

ESTE PAQUETE ES PARA LA EIP
LAZARO REINA


License
=======

primos Copyright YEAR, PACKAGE-AUTHOR

This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston,
MA 02111-1307 USA.
csaf-lint 2022.7.17
Experimental CSAF validator for envelope and body profiles.
Requires Python: >=3.8
Keywords: baseline,body,core,csaf,cvrf,development,envelope,extension,profile,validation

# CSAF Lint

Experimental CSAF envelope and body profile validator.

[License: MIT](https://github.com/sthagen/csaf-lint/blob/default/LICENSE)

[![version](https://img.shields.io/pypi/v/csaf-lint.svg?style=flat)](https://pypi.python.org/pypi/csaf-lint/)
[![downloads](https://img.shields.io/pypi/dm/csaf-lint.svg?style=flat)](https://pypi.python.org/pypi/csaf-lint/)
[![wheel](https://img.shields.io/pypi/wheel/csaf-lint.svg?style=flat)](https://pypi.python.org/pypi/csaf-lint/)
[![supported-versions](https://img.shields.io/pypi/pyversions/csaf-lint.svg?style=flat)](https://pypi.python.org/pypi/csaf-lint/)
[![supported-implementations](https://img.shields.io/pypi/implementation/csaf-lint.svg?style=flat)](https://pypi.python.org/pypi/csaf-lint/)

In short: The current version of the `csaf-lint` validates documents in various
Common Security Advisory Framework (CSAF) formats against built-in
or user custom schema files.

The supported  versions are:

* CSAF 2.0 (default is now the 2021.03.23 editor version)
* CSAF 1.2 (aka CVRF 1.2)
* CSAF 1.1 (aka CVRF 1.1)

## Caveat Emptor

1. Expect changes to the CSAF v2.0 support because the underlying OASIS specification
is undergoing development by the members of the OASIS technical committee.
   This may lead to breaking changes until the standard is published on
committee specification level.
   The current supported draft JSON Schema versions are from 2021-03-23, 2021-03-19, and 2021-03-07.
2. The previous versions namely CVRF 1.1 and 1.2 were in XML format.
3. The current version CSAF 2.0-candidates are in JSON Schema format.

Available on [PyPI as csaf-lint](https://pypi.org/project/csaf-lint/)

## Installing

Recommended installation of current experimental package:

```console
❯ python -m pipx install csaf-lint
```
## Status

Experimental.

**Note**: The default branch is `default`.