Add sigmoid transformations to some predictors

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
python, tensorflow
Domain
machine-learning

Research direction

Start by reviewing the existing predictor algorithms, especially TensorFlow BiasedMF, and the prediction components. Determine whether the first increment should integrate sigmoid behavior into an algorithm or provide a fitted sigmoid component. Done should include a clearly scoped implementation and tests showing the intended transformation of rating predictions.

Written by the indexing model from the issue text.

Description

components

It would be useful to be able to do sigmoid transformations for rating predictions. Two possible pieces:

  • Build this in to some algorithms, like the TensorFlow BiasedMF.
  • Provide a sigmoid component that fits a sigmoid based on predictions.

Full OrdRec could also be useful here, but probably best to start with a simple sigmoid.

Dominant language
Python
Stars
314
Forks
77
Avg merge
4d 6m
Merged PRs (30d)
10

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