PhilippPro

tuneRanger

Automatic tuning of random forests

PhilippPro.github.io

My Blog about tree-based methods:

OOBCurve

Random Forest OOB Curves for any performance measure of mlr

quantregRanger

Quantile Regression for Ranger

tunability

benchmark-mlr-openml

Benchmark default learners of mlr on OpenML Datasets

varImp

Random forest variable importance for arbitrary measures

defaults

Getting an optimal set of defaults for common machine learning algorithms

OpenML-bench

Benchmarking datasets for regression based on OpenML

tuneNtree

autoMlr

Automatic machine learning package with tuning tailored to the algorithms and runtime specification

blog_philipppro

CranDownloads

With this script the monthly cran downloads of packages can be analysed

measures

OpenML-R-Bot

Paper for the description of the OpenML R-Bot

autoSVM

Automatic tuning of SVM models

autoxgboost

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.

MetaLearn

mlr-extralearner

mlrHyperopt

Easy Hyper Parameter Optimization with mlr and mlrMBO.

ntree_randomForest

rmarkdown-cookbook

R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.

Running-App

This repository helps me to visualize my daily runs

shinyExplorer

Shiny tool to do explorative data analysis.

shinyJsTutorials

tutorials materials on R/Shiny bindings to popular javascript libraries

test_shiny_aks

Test setting up shiny on AKS Cluster

timeSeriesML

An R package for modeling time series

tuneLightGBM

This R package provides an automatic tuning algorithm for lightgbm

vimp