mlr-archive / mlr-tutorialLinks
The mlr package online tutorial
☆20Updated 7 years ago
Alternatives and similar repositories for mlr-tutorial
Users that are interested in mlr-tutorial are comparing it to the libraries listed below
Sorting:
- Forecasting workshop for ACEMS 2018☆37Updated 7 years ago
- xray: The R Package to have X Ray vision on your datasets☆77Updated 7 years ago
- An R package for common supervised machine learning metrics.☆102Updated 6 years ago
- Composable Preprocessing Operators for MLR☆37Updated 5 months ago
- R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.☆34Updated 7 years ago
- Package for a nice and smoothe usage of the shapley value for mlr☆26Updated 6 years ago
- Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks☆51Updated 3 years ago
- Example workflows for the drake R package☆56Updated 4 years ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 7 years ago
- C++ implementation and R API for componentwise boosting☆23Updated 2 years ago
- A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models☆23Updated last year
- Tools at the intersection of purrr and dplyr☆102Updated 2 months ago
- Gower's distance for R☆30Updated 6 months ago
- MachineShop: R package of models and tools for machine learning☆62Updated 5 months ago
- Use dplyr verbs to build data.table expressions☆66Updated 2 years ago
- seasonal adjustment on the fly extension for ggplot2☆77Updated 5 months ago
- Run models inside a database using R☆80Updated 2 weeks ago
- Example scripts for "Using web APIs in R" presentation, rstudio::conf 2017☆26Updated 8 years ago
- data.frame-based API for model and predict functions☆60Updated 8 years ago
- torch from R!☆51Updated 5 years ago
- R package to interface with OpenML☆99Updated last year
- Package that implements several techniques to re-balance or remove noisy instances in unbalanced datasets.☆32Updated 3 years ago
- A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.☆98Updated 3 years ago
- R Package for Reinforcement Learning☆34Updated 3 years ago
- Bayesian comparisons of models using resampled statistics☆102Updated 3 months ago
- ☆40Updated 8 years ago
- A simple hello world R-docker example☆52Updated 6 years ago
- Text Processing for Small or Big Data Files in R☆39Updated last year
- OLAP cubes R data type☆48Updated 2 years ago
- Track, Visualize, and Manage TensorFlow Training Runs☆34Updated 3 months ago