modelgrid
1.2.0A Framework for Creating, Managing and Training Multiple 'caret' Models
Overview
A minimalistic but flexible framework that facilitates the creation, management and training of multiple 'caret' models. A model grid consists of two components, (1) a set of settings that is shared by all models by default, and (2) specifications that apply only to the individual models. When the model grid is trained, model and training specifications are first consolidated from the shared and the model specific settings into complete 'caret' model configurations. These models are then trained with the 'train()' function from the 'caret' package.
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Documentation
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- Return-value docs
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Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-11-28issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- 1.2.02024-05-07 · diff ↗
- unarchivedReturned to CRAN2024-05-07
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2023-04-10issues were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.1.1.02018-11-04 · diff ↗
- 1.1.0.02018-07-13
- RR 3.5.0 released · 2018-04-23
Package metadata
- Total releases
- 3
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.4.0
- Download size
- not tracked yet
- Installed size
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- With dependencies
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