How to use this guide¶
If you are looking for more detailed information, other sections of this documentation are more suitable. There are three major parts:
The user guide explains all conceptional details behind getML in depth. It can serve as a reference guide for experienced users but it’s also suitable for first day users who want to get a deeper understanding of how getML works. Each chapter in the user guide represents one step of a typical data science project.
The API documentation covers everything related to the Python interface to the getML engine. Each module comes with a dedicated section that contains concrete code examples.
You can also check out our other resources