Pinned Repositories
blockForest
Random Forests for Blocks of Clinical and Omics Covariate Data
cpi
CPI: Conditional Predictive Impact
neuralnet
Training of Neural Networks
grf
Generalized Random Forests
ranger
A Fast Implementation of Random Forests
abstracts
bnnSurvival
Bagged k-nearest neighbors survival probability prediction
raster-rforge
A clone of R's raster package from r-forge, for community contributions/discussion.
Rcpp-tutorial
simpleRF
A simple implementation of random forests in plain R
mnwright's Repositories
mnwright/simpleRF
A simple implementation of random forests in plain R
mnwright/raster-rforge
A clone of R's raster package from r-forge, for community contributions/discussion.
mnwright/Rcpp-tutorial
mnwright/abstracts
mnwright/batchtools
Tools for computation on batch systems
mnwright/condpfi
Conditional (Permutation) Feature Importance
mnwright/data.tree
General Purpose Hierarchical Data Structure for R
mnwright/edarf
exploratory data analysis using random forests
mnwright/ffjord
code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
mnwright/ggplot2
An implementation of the Grammar of Graphics in R
mnwright/grf
Generalized Random Forests
mnwright/iml
iml: interpretable machine learning R package
mnwright/ipred
:exclamation: This is a read-only mirror of the CRAN R package repository. ipred — Improved Predictors
mnwright/lime
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
mnwright/mlr3extralearners
Extra learners for use in mlr3.
mnwright/mnwright.github.io
mnwright/nnfor
mnwright/Planted_Forest
Interpretable machine learning algorithm
mnwright/presentations
mnwright/r2pmml
R library for converting R models to PMML
mnwright/riskRegression
R package for risk regression and prediction with censored data
mnwright/shap
A game theoretic approach to explain the output of any machine learning model.
mnwright/survivalsvm
Survival Support Vector Analysis
mnwright/tensorflow
TensorFlow for R
mnwright/test_ranger_runtime
Runtime tests for ranger
mnwright/tree.interpreter
Decision tree interpreter for randomForest/ranger as described in
mnwright/treeexplainer-study
Code and documentation for experiments in the TreeExplainer paper
mnwright/treeshap
Explain your tree model with shap values efficiently
mnwright/ttest
mnwright/tuneRF
Automatic tuning of random forests