healthcareai-py v0.1.7-beta

https://github.com/HealthCatalyst/healthcareai-py/releases/tag/v0.1.7-beta

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