How to use this guide¶
If you want to get started with getML right away, we recommend to follow the installation instructions and then go through the getting started 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