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GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ChNabil%2FBKT_python_gridsearch
PURL: pkg:github/ChNabil/BKT_python_gridsearch

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 29.3 KB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago

Topics: bayesian-knowledge-tracing, bkt, grid-search

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