ChNabil/BKT_python_gridsearch

Implements a grid-search method to find BKT parameters using a shared c library in Python. The shared c library implements the grid search to speed up the nested for loops. Functions to estimate BKT parameters, predictions, collapsed & non-collapsed rmse, auc_roc, accuracy and implement student-stratified k-fold cross-validation.

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tuanio/baum-welch

Language: Jupyter Notebook - Size: 722 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0