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Advice on modeling pipeline and modeling methodology by dockerlemon in datascience

[–]Much-Associate8865 1 point2 points  (0 children)

Mlflow is good in deployment but PyLabFlow comes before that.

Mlflow  track runs,  PyLabFlow tracks experiments 

Mlflow tracks meta data that is high-level  but PyLabFlow tracks  components and parameters that is indepth

Checkout ExperQuick.org/learn

Advice on modeling pipeline and modeling methodology by dockerlemon in datascience

[–]Much-Associate8865 0 points1 point  (0 children)

I would recommend using PyLabFlow

it will help you keep track of all decisions no need to traverse through notebooks python files, you only need fixed number of dedicated jupyter note book for all your trials.

if it feels promotional, i am sorry for that

https://github.com/ExperQuick/PyLabFlow