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skpref 0.0.1 documentation
skpref 0.0.1 documentation

Contents:

  • Welcome to skpref
  • Models in the package
  • Novelties in skpref to the scikit-learn user
  • Types of relations that can be modelled in skpref (11/01/2022)
  • Module documentation
  • Jupyter Notebook Examples
    • Bradley Terry example notebook
    • Reading in the data
    • Setting up the tasks
    • Fitting a Logistic Regression
    • Reduction to logistic regression with covariates
    • Bradley Terry model with salary covariate
    • Example using GridSearchCV()
    • We will demonstrate skpref on discrete choice data
    • Changing the format of the tables for skpref
    • Using only a subset of the available features
    • Fit a logistic regression
    • Fit a Bradley-Terry model without covariates
    • Fitting a Bradley-Terry model with covariates
    • Evaluation methods
Copyright © 2022, István Papp, Franz Király, Ioanna Manolopoulou, Karlson Pfannschmidt, Pritha Gupta | Created using Sphinx and @pradyunsg's Furo theme.