MLEKO is designed to streamline the model building process with its comprehensive set of features:

• Data processing support for different data sources and formats, as well as feature engineering.
• Customizable data processing pipelines with pre-built pipeline steps for various tasks.
• Efficient caching of method call results using caching mixins and fingerprinting utilities.
• Utility functions for logging, decorating, file management, and TQDM wrappers.

• Python 3.8, 3.9, or 3.10
• boto3 >= 1.26.91
• botocore >= 1.29.91
• tqdm >= 4.65.0
• vaex >= 4.16.0

You can install ML-Ekosystem via pip from PyPI:

$ pip install mleko

• TODO

Contributions are very welcome. To learn more, see the Contributor Guide.

Distributed under the terms of the MIT license, ML-Ekosystem is free and open source software.

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