semvec/pypi-packages huggingface dataset:
openmlhub 0.2.1
A python client for openmlhub repository
Requires Python: >=3.7

# OpenMLHub:  Machine Learning Model Tracking and Validation

## Overview

Welcome to the OpenMLHub Client – your go-to solution for tracking and validating machine learning models for scientific research. This project facilitates seamless integration with OpenMLHub, enabling you to manage and assess your models efficiently.

## Features

- **Model Tracking**: Easily track the performance of your machine learning models over time.
- **Validation Support**: Streamline the validation process for scientific research purposes.
- **OpenMLHub Integration**: Connect and collaborate with the OpenMLHub community effortlessly.
- **User-Friendly Interface**: Intuitive design for a smooth user experience.
- **Scalable Architecture**: Built for scalability to accommodate various project sizes.

## Getting Started

Follow these steps to get started with the OpenMLHub Client:

1. **Installation**:
   ```
   pip install openmlhub
   ```

2. **Configuration**:
   - Obtain your OpenMLHub API key.
   - Set up your configuration file with the API key.

3. **Usage**:
   ```python
   import os
   from openmlhub import make_logger
   from openmlhub.config import OpenMLHubConf('<user_id>', 'api_key')

   api_key = os.environ['OPENMLHUB_API_KEY']
   logger = make_logger(OpenMLHubConf('<user_id>', api_key), '<model_id>')
   logger.log()
   ```

## Examples

```python
TBC
```

## Contributing

We welcome contributions to enhance the OpenMLHub Client. To contribute:

1. Fork the repository.
2. Create a new branch: `git checkout -b feature/your-feature`.
3. Commit your changes: `git commit -m 'Add your feature'`.
4. Push to the branch: `git push origin feature/your-feature`.
5. Open a pull request.

## License

This project is licensed under the [MIT License](LICENSE.md).

## Contact

For any inquiries or support, contact us at [support@openmlhubclient.com](mailto:support@openmlhubclient.com).

Happy modeling and tracking! 🚀
geniusdotpy 1.1.1
Python wrapper for Genius API
Keywords: python,genius,api-wrapper

# **genius.py**

[![PyPI version](https://img.shields.io/pypi/v/geniusdotpy)](https://pypi.org/project/geniusdotpy/)
[![Python 3.x version](https://img.shields.io/badge/python-3.x-brightgreen.svg)](https://www.python.org/downloads/)
[![Documentation](https://img.shields.io/badge/documentation-8A2BE2)](https://jjoeldaniel.github.io/genius.py/)
[![Downloads](https://static.pepy.tech/badge/geniusdotpy)](https://pepy.tech/project/geniusdotpy)

> Python wrapper for Genius API

With genius.py, enjoy an easy-to-use interface to interact with [Genius API](https://docs.genius.com)

## Table of Contents

- [Table of Contents](#table-of-contents)
- [Features](#features)
- [Install](#install)
- [Getting Started](#getting-started)
- [References](#references)

---

## Features

- Feature rich interface
- Easy to use
- Lyrics web scraper

## Install

```bash
pip install geniusdotpy
```

## Getting Started

To get started...

1. Get your Client Access Token [here](https://genius.com/api-clients)

2. Create a new *Genius* object

    ```python
    from geniusdotpy.genius import Genius

    # Get your client access token from https://genius.com/api-clients
    client_access_token = "token"

    # Create a GeniusBuilder object
    genius = Genius(client_access_token=client_access_token)

    # Search for a track by ID
    track1 = genius.search_track_by_id(378195)
    print(repr(track1))

    # Search artist by ID
    artist1 = genius.search_artist(track1.artist.id)
    print(repr(artist1))

    # Search for a track by query
    track3 = genius.search("Beat It")[0]
    print(repr(track3))

    # Search tracks by artist
    tracks: list[Track] = genius.search_track_by_artist(artist_id=16775)
    track4 = tracks[0]
    print(repr(track4))

    # Retrieve lyrics
    track4.get_lyrics()
    print(track4.lyrics)
    ```

3. ???

4. Profit

## References

[Genius API](https://docs.genius.com)

---

Created with 💖 by [*jjoeldaniel*](https://github.com/jjoeldaniel)