PhilippPro
PhD in statistics/ML at LMU Munich. Interested in tree-based and ensemble methods, hyperparameters and more. Member of the @mlr-org development team.
Allianz SuisseSwitzerland
Pinned Repositories
benchmark-mlr-openml
Benchmark default learners of mlr on OpenML Datasets
blog_philipppro
CranDownloads
With this script the monthly cran downloads of packages can be analysed
measures
OOBCurve
Random Forest OOB Curves for any performance measure of mlr
OpenML-bench
Benchmarking datasets for regression based on OpenML
PhilippPro.github.io
My Blog about tree-based methods:
quantregRanger
Quantile Regression for Ranger
tunability
tuneRanger
Automatic tuning of random forests
PhilippPro's Repositories
PhilippPro/tuneRanger
Automatic tuning of random forests
PhilippPro/PhilippPro.github.io
My Blog about tree-based methods:
PhilippPro/OOBCurve
Random Forest OOB Curves for any performance measure of mlr
PhilippPro/quantregRanger
Quantile Regression for Ranger
PhilippPro/tunability
PhilippPro/benchmark-mlr-openml
Benchmark default learners of mlr on OpenML Datasets
PhilippPro/varImp
Random forest variable importance for arbitrary measures
PhilippPro/defaults
Getting an optimal set of defaults for common machine learning algorithms
PhilippPro/OpenML-bench
Benchmarking datasets for regression based on OpenML
PhilippPro/tuneNtree
PhilippPro/autoMlr
Automatic machine learning package with tuning tailored to the algorithms and runtime specification
PhilippPro/blog_philipppro
PhilippPro/CranDownloads
With this script the monthly cran downloads of packages can be analysed
PhilippPro/measures
PhilippPro/OpenML-R-Bot
Paper for the description of the OpenML R-Bot
PhilippPro/autoSVM
Automatic tuning of SVM models
PhilippPro/autoxgboost
PhilippPro/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.
PhilippPro/MetaLearn
PhilippPro/mlr-extralearner
PhilippPro/mlrHyperopt
Easy Hyper Parameter Optimization with mlr and mlrMBO.
PhilippPro/ntree_randomForest
PhilippPro/rmarkdown-cookbook
R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.
PhilippPro/Running-App
This repository helps me to visualize my daily runs
PhilippPro/shinyExplorer
Shiny tool to do explorative data analysis.
PhilippPro/shinyJsTutorials
tutorials materials on R/Shiny bindings to popular javascript libraries
PhilippPro/test_shiny_aks
Test setting up shiny on AKS Cluster
PhilippPro/timeSeriesML
An R package for modeling time series
PhilippPro/tuneLightGBM
This R package provides an automatic tuning algorithm for lightgbm
PhilippPro/vimp