rminer
1.5.0Machine Learning Classification and Regression Methods
Overview
Facilitates the use of machine learning algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.5.0 improved mparheuristic function (new hyperparameter heuristics); 1.4.9 / 1.4.8 improved help, several warning and error code fixes (more stable version, all examples run correctly); 1.4.7 - improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; 1.2 - new input importance methods via improved Importance() function; 1.0 - first version.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-07-1112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-05-0213 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-2511 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 93%
- References docs
- 94%
Downloads
Dependencies
Code & Tests
Datasets
People & History
16 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.5.0Latest
- 1.4.92025-06-04 · diff ↗
- unarchivedReturned to CRAN2025-06-04
- archivedRemoved from CRAN2025-05-15requires archived package 'kknn'
- RR 4.5.0 released · 2025-04-11
- 1.4.82024-10-29 · diff ↗
- 1.4.72024-10-23 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.4.62020-08-28 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.4.52020-04-14 · diff ↗
- 1.4.42020-04-09 · diff ↗
Show 20 earlier events
- 1.4.32019-12-16 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.4.22016-09-02 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.4.12015-07-18 · diff ↗
- RR 3.2.0 released · 2015-04-16
- 1.42014-11-07 · diff ↗
- RR 3.1.0 released · 2014-04-10
- 1.3.12013-08-12 · diff ↗
- RR 3.0.0 released · 2013-04-03
- 1.32013-03-19 · diff ↗
- 1.22012-10-17 · diff ↗
- RR 2.15.0 released · 2012-03-30
- RR 2.14.0 released · 2011-10-31
- 1.12011-04-25 · diff ↗
- RR 2.13.0 released · 2011-04-13
- 1.02011-01-15
- RR 2.12.0 released · 2010-10-15
Package metadata
- First published
- 2011-01-15
- Total releases
- 16 / 15 yrs
- License
- GPL-2 OSI
- Bundled data
- 339 KB / 10 files
- Download size
- 453 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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