healthcareai-py v0.1.7-beta

2018-08-02T12:31:04Z (GMT) by Thatcher, Levi

This release encompasses basic healthcare ML functionality:

  • Model comparison between random forest and logistic regression algorithms
  • Model deployment to SQL Server, providing top-three most important features
  • Imputation (column mean for numeric and column mode for categorical)
  • Hyperparameter tuning, using mtry and number of trees for random forest
  • Plots
    • ROC
    • Random forest feature ranking
  • Model performance evaluated via AU_ROC and AU_PR

First release after setting up the following infrastructure:

  • AppveyorCI
  • Sphinx
  • Nose unit testing
  • Docker