Training a model with getitune

getitune is a low-code transfer-learning library. Training is driven by an Engine created with create_engine(...), which pairs a model/recipe with a dataset and returns a runnable engine. Recipes (YAML under library/src/getitune/recipe/<task>/) bundle model + data pipeline + training config, so a model name alone gives a strong baseline.

There are two equal entry points that share the same objects and recipes:

• Python API — from getitune.engine import create_engine, then engine.train() / engine.test(). Preferred for notebooks, scripts, tests, and library integration. See library/README.md ("Quick Start") and library/docs/source/guide/get_started/api_tutorial.rst.
• CLI — getitune train --data_root <path> --model <name|recipe.yaml>. Preferred for reproducible experiments and shell workflows. See library/docs/source/guide/get_started/cli_commands.rst.