Pinned Repositories
AccelerationExplorer
Acceleration Explorer allows users experiment with the acceleration sensor. Smoothing filters and low-pass filters can be applied.
glmnet_python
isoensemble
Isotonic Random Forest
monoboost
You are more than welcome to make use of this code for research purposes. If so, please cite: Bartley C., Liu W., Reynolds M., 2018, A Novel Framework for Partially Monotone Rule Ensembles. ICDE 2018 prepub Paris, France, April 16-20, 2018, IEEE Computer Society.
monoensemble
High Performance Monotone Boosting and Random Forest Classification
monorulerf
A RandomForestClassifier with monotone feature capability - a simple approach
partial_mt_instance
Cone based partially monotone instance based techniques, for binary classification and monotone relabelling. Based on Chapter 7 of my PhD thesis "High Accuracy Partially Monotone Ordinal Classification", UWA 2019.
PM
Constraint Generation for Partially Monotone Classifiers
PMSVM
Partially Monotone SVM
rulefit
Python implementation of the rulefit algorithm, with monotone feature capability.
chriswbartley's Repositories
chriswbartley/monoensemble
High Performance Monotone Boosting and Random Forest Classification
chriswbartley/monoboost
You are more than welcome to make use of this code for research purposes. If so, please cite: Bartley C., Liu W., Reynolds M., 2018, A Novel Framework for Partially Monotone Rule Ensembles. ICDE 2018 prepub Paris, France, April 16-20, 2018, IEEE Computer Society.
chriswbartley/PM
Constraint Generation for Partially Monotone Classifiers
chriswbartley/PMSVM
Partially Monotone SVM
chriswbartley/rulefit
Python implementation of the rulefit algorithm, with monotone feature capability.
chriswbartley/AccelerationExplorer
Acceleration Explorer allows users experiment with the acceleration sensor. Smoothing filters and low-pass filters can be applied.
chriswbartley/glmnet_python
chriswbartley/isoensemble
Isotonic Random Forest
chriswbartley/monorulerf
A RandomForestClassifier with monotone feature capability - a simple approach
chriswbartley/partial_mt_instance
Cone based partially monotone instance based techniques, for binary classification and monotone relabelling. Based on Chapter 7 of my PhD thesis "High Accuracy Partially Monotone Ordinal Classification", UWA 2019.
chriswbartley/PMRF