MachineLearning
0.1.4Machine Learning Algorithms for Innovation in Tourism
Overview
A collection of routines created in the collaboration framework in tourism innovation between the Valencian Tourism Agency (AVT) http://www.turisme.gva.es/opencms/opencms/turisme/es/index.jsp and the Miguel Hernandez University. The package provides a set of machine learning tools for pattern detection, association and classification rules and feature selection even under massive data environments. Almiñana, Escudero, Pérez-Martín, Rabasa, and Santamaría (2014) doi:10.1007/s11750-012-0264-6.
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Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 57%
- References docs
- 20%
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Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-06-22check problems were not corrected in time Intermittent alternative solutions differ from reference output
- RR 4.0.0 released · 2020-04-24
- 0.1.42020-03-05 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.32019-03-15 · diff ↗
- 0.0.32019-02-22 · diff ↗
- 0.0.22018-12-18
- RR 3.5.0 released · 2018-04-23
Package metadata
- Total releases
- 4
- License
- AGPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Bundled data
- 279 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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