semvec/pypi-packages huggingface dataset:
W-k-NN 0.0.3
A W-k-NN implementation with PyKeOps
Requires Python: >=3.7

# W-K-NN: Weighted-k-Nearest-Neighbours
A GPU implementation of the _optimal_ [1] W-k-NN classifier based on [KeOps](http://www.kernel-operations.io/) [2]

## Installation
Using pip:
`pip install W-k-NN`

## Usage

classifier file is `WKNN/wknn_clf.py`

```
from WKNN.wknn_clf import WKNNClassifier

model = WKNNClassifier().fit(X,y)
y_pred = model.predict(X_test)
```

## Tutorial
See `compare-classifiers-synth-2D.ipynb` for comparing the implementation with state-of-the-art methods. <br>
See `wknn-tuto-2d.ipynb` notebook for a tutorial (To Do).


# References
[1] Richard J. Samworth, Optimal weighted nearest neighbour classifiers, 2012, doi:10.1214/12-AOS1049 <br>
[2] Charlier, B., Feydy, J., Glaunès, J. A., Collin, F.-D. & Durif, G.
Kernel Operations on the GPU, with Autodiff, without Memory Overflows. 
Journal of Machine Learning Research 22, 1–6 (2021).

# Author & License
Copyright UCA/CNRS/Inria<br>
Contributor(s): Cedric Dubois 2022

This software is governed by the CeCILL  license under French law and
abiding by the rules of distribution of free software.  You can  use,
modify and/ or redistribute the software under the terms of the CeCILL
license as circulated by CEA, CNRS and INRIA at the following URL
"http://www.cecill.info".
pirequests 0.0.1
Python HTTP for Humans
Requires Python: >=3.7

# Requests

**Requests** is a simple, yet elegant, HTTP library.

```python
>>> import requests
>>> r = requests.get('https://httpbin.org/basic-auth/user/pass', auth=('user', 'pass'))
>>> r.status_code
200
>>> r.headers['content-type']
'application/json; charset=utf8'
>>> r.encoding
'utf-8'
>>> r.text
'{"authenticated": true, ...'
>>> r.json()
{'authenticated': True, ...}
```

Requests allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your `PUT` & `POST` data — but nowadays, just use the `json` method!

Requests is one of the most downloaded Python packages today, pulling in around `30M downloads / week`— according to GitHub, Requests is currently [depended upon](https://github.com/psf/requests/network/dependents?package_id=UGFja2FnZS01NzA4OTExNg%3D%3D) by `1,000,000+` repositories. You may certainly put your trust in this code.

[![Downloads](https://pepy.tech/badge/requests/month)](https://pepy.tech/project/requests)
[![Supported Versions](https://img.shields.io/pypi/pyversions/requests.svg)](https://pypi.org/project/requests)
[![Contributors](https://img.shields.io/github/contributors/psf/requests.svg)](https://github.com/psf/requests/graphs/contributors)

## Installing Requests and Supported Versions

Requests is available on PyPI:

```console
$ python -m pip install requests
```

Requests officially supports Python 3.7+.

## Supported Features & Best–Practices

Requests is ready for the demands of building robust and reliable HTTP–speaking applications, for the needs of today.

- Keep-Alive & Connection Pooling
- International Domains and URLs
- Sessions with Cookie Persistence
- Browser-style TLS/SSL Verification
- Basic & Digest Authentication
- Familiar `dict`–like Cookies
- Automatic Content Decompression and Decoding
- Multi-part File Uploads
- SOCKS Proxy Support
- Connection Timeouts
- Streaming Downloads
- Automatic honoring of `.netrc`
- Chunked HTTP Requests

## API Reference and User Guide available on [Read the Docs](https://requests.readthedocs.io)


## Cloning the repository

When cloning the Requests repository, you may need to add the `-c
fetch.fsck.badTimezone=ignore` flag to avoid an error about a bad commit (see
[this issue](https://github.com/psf/requests/issues/2690) for more background):

```shell
git clone -c fetch.fsck.badTimezone=ignore https://github.com/psf/requests.git
```

You can also apply this setting to your global Git config:

```shell
git config --global fetch.fsck.badTimezone ignore
```

---

[!(https://raw.githubusercontent.com/psf/requests/main/ext/kr.png)](https://kennethreitz.org) [![Python Software Foundation](https://raw.githubusercontent.com/psf/requests/main/ext/psf.png)](https://www.python.org/psf)