planning 2018.04.26

agenda

• Review notebooks
• Do we want to use abstract images / abstract batch? (Przemek Pawelec's idea)
• API design. What problem Steps solves? We need this info in writing. (by Michał Romaniuk)
  • Useful reading for this:
    • Machine Learning: The High-Interest Credit Card of Technical Debt NIPS 2014
    • Hidden Technical Debt in Machine Learning Systems NIPS 2015
    • What’s your ML Test Score? A rubric for ML production systems NIPS 2016

meeting notes

• review notebooks again, check what is wrong
• during next planning specify scope for steps 0.1
  • this is summary of the previous phase
• Whats exactly is pipeline?

Steps repositories: steps

• NO keras, TF, PT, XGBoost, LGBM, ...
• make_transformer(), step base, etc.
• no notebooks

steps-toolkit

• no notebooks
• steps-toolkit.contrib

steps-examples

• notebooks (with outputs)
• tutorials