a CLI for (inter)active learning & data mining
key features
- simple syntax, build entire pipelines in a single line of code
- dynamic loading of your favourite libraries (you can use what you have access to)
- create a model from scratch, or load an existing one
- interactive user input via CLI
features to come
- more sampling strategies
- load/save models from MLFlow
Example with a simple logitic regression on the titanic dataset
Documentation
active_flow uses python fire internally, so you can call eg.
python -m aflow.active --help