The objective of this “Advanced” tutorial is to showcase for advanced users who are familiar with Python how to adopt AMiGA code into their own scripts instead of relying on the command-line interface (CLI). If you want to run AMiGA the easiest way possible, take a look at an example pipeline.

Here, I will introdue functions and classes that can be used in a standalone manner for importing data and meta-data, processing growth curves, and fitting growth curves using Gaussian Process (which is implemented using the GPy package).

See Jupyter Notebook Tutorial