4 results found Sort:

csinva
imodels csinva
124
1.4k
mit
22
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ai ml rules python imodels rulefit statistics data-science scikit-learn rule-learning explainable-ai explainable-ml interpretability machine-learning bayesian-rule-list supervised-learning artificial-intelligence optimal-classification-tree
Created 2019-07-04
1,083 commits to master branch, last one about a month ago
adaa-polsl
RuleKit adaa-polsl
10
151
agpl-3.0
2
Comprehensive suite for rule-based learning
rule-learning rule-induction knowledge-discovery
Created 2019-07-09
601 commits to master branch, last one 2 days ago
linkedin
TE2Rules linkedin
6
55
other
6
Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
xgboost random-forest rule-learning explainability explainable-ai tree-ensembles interpretability interpretable-ai machine-learning
Created 2022-10-31
129 commits to main branch, last one about a year ago
rz-zhang
PRBoost rz-zhang
0
35
unknown
3
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
nlp prompt boosting rule-learning rule-discovery online-learning weak-supervision adaptive-learning iterative-learning interactive-learning weakly-supervised-learning
Created 2022-03-18
7 commits to main branch, last one 3 years ago