9. Technical debt
Model
development
ML
Infrastructure
● Do you have (simple) reference model (think baseline)?
● What is the impact of each hyperparameter on model
performance?
● Are training procedures reproducible?
● Is your end-to-end pipeline integrated?
● Can you “roll back” to the previous version?
22. Fast and reproducible experimentation
● Simple programming model with Step and Transformer
● No operation outside Step
● Steppy handles model training and testing
● Steppy saves intermediate results
● Steppy saves transformers (especially trained model)
● Steppy visualizes entire graph of computations
● Steppy let’s you exchange particular steps easily
Why do you need steppy?