semvec/pypi-packages huggingface dataset:
datasets-server-python 0.5.0
Python SDK to access the Datasets Server
License: MIT
Keywords: datasets,huggingface

# Datasets Server Python SDK

This is the Python SDK for using the [Huggingface Datasets Server](https://github.com/huggingface/datasets-server). It is not the official SDK, but it is a good start. 
I will try to keep it up to date with the latest version of the Datasets Server.

## Installation

```bash
pip install datasets-server-service
```

## Usage

```python
from datasets_server_service import DatasetsServerService

# You can give your api token here or pass it as HF_DATASETS_SERVER_TOKEN env variable
service = DatasetsServerService()
valid_datasets = service.valid_datasets()
```
fastrank 0.8.0
FastRank Learning to Rank Library written in Rust.
License: MIT

# FastRank ![CI Status Badge](https://github.com/jjfiv/fastrank/workflows/CI/badge.svg) [![PyPI version](https://badge.fury.io/py/fastrank.svg)](https://badge.fury.io/py/fastrank)

My most frequently used learning-to-rank algorithms ported to rust for efficiency.

Read my [blog-post](https://jjfoley.me/2019/10/11/fastrank-alpha.html) announcing the first public version: 0.4. It's alpha because I think the API needs work, not because there's any sort of known correctness or compatiblity issues.

## Python Requirements / Release History

- 0.5 and earlier require only Python 3.5, but no windows builds were pushed.
- 0.6 requires Python 3.6 due to EOL for Python 3.5 becoming prevalent in the latest pip.
- 0.6.1 switched to manylinux2010 building; you might get better vectorization from a local copy.
- 0.7 maintains the requirement of Python 3.6
- 0.8 and forward will require Python 3.7 so we can use the standard @dataclass annotation and drop the attrs dependency.

## Python Usage

```shell
pip install fastrank
```

See this [Colab notebook](https://colab.research.google.com/drive/1IjF7yTin1XaNO_6mBNxAoQYTmF0nckk1) for more, or see a static version [here on Github](https://github.com/jjfiv/fastrank/blob/master/examples/FastRankDemo.ipynb).