Pinned Repositories
Tutorials
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
confintr
R package for calculation of standard and bootstrap confidence intervals
flashlight
Machine learning explanations
MetricsWeighted
R package for weighted model metrics
missRanger
Fast multivariate imputation by random forests.
ml_lecture
intro to ML
outForest
Outlier detection based on random forest models
hstats
Friedman's H-statistics
kernelshap
Different SHAP algorithms
shapviz
SHAP Plots in R
mayer79's Repositories
mayer79/missRanger
Fast multivariate imputation by random forests.
mayer79/ml_lecture
intro to ML
mayer79/flashlight
Machine learning explanations
mayer79/confintr
R package for calculation of standard and bootstrap confidence intervals
mayer79/outForest
Outlier detection based on random forest models
mayer79/MetricsWeighted
R package for weighted model metrics
mayer79/splitTools
Light weight R package to do fast data splitting for cross-validation or train/valid/test splits
mayer79/partialPlot
Partial dependency plots in R for xgboost, lightGBM and ranger objects
mayer79/statistical_computing_material
Material for the lecture Statistical Computing
mayer79/permshap
Permutation SHAP
mayer79/demo_shapviz
Demo how to use {shapviz} to plot SHAP values
mayer79/swiss_health
Premium jumps in Swiss health insurance
mayer79/ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
mayer79/boosted-trees
Tutorial: Adding structure to Boosted Tree models
mayer79/EMMA
Evaluation of Methods for dealing with Missing data in Machine Learning algorithms
mayer79/gcd
Greatest common divisor
mayer79/glum
High performance Python GLMs with all the features!
mayer79/lgbm_compare
mayer79/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
mayer79/lyricassessr
What the Package Does (Title Case)
mayer79/marginalplot
mayer79/model-diagnostics
Tools for diagnostics and assessment of (machine learning) models
mayer79/modeltuner
An R-toolkit for model evaluation, model comparison and hyperparameter tuning based on cross-validation
mayer79/musicassessr
mayer79/notebooks
mayer79/randomForestExplainer
A set of tools to understand what is happening inside a Random Forest
mayer79/scikit-learn
scikit-learn: machine learning in Python
mayer79/treeshap
Explain your tree model with shap values efficiently
mayer79/vivid
This package is for visualising variable importance and variable interaction.
mayer79/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow