A simple tool helping to track information, metrics, and files during code development, testing, probing
A simple tool helping to track information, metrics, and files during
code development, testing, probing, experimentation and analysis.
The idea
You write Python code, annotate a function, call it.
Votakvot takes care about tracking what function parameters are, its result, git repo status, etc…
Change your code, change parameters, try to rerun the function, experiment.
Then votakvot may load back all information to pandas DataFrame.
Play with it and find the best combination of function parameters and version of a source code.
Basic usage
Write a function and wrap it with an annotation votakvot.track:
@votakvot.track()
def my_experiment(one, two):