vtreat
1.6.5A Statistically Sound 'data.frame' Processor/Conditioner
Overview
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", Zumel, Mount, 2016, DOI:10.5281/zenodo.1173313.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 87%
- References docs
- 0%
Downloads
Repository
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/winvector/vtreat on 2026-07-19.
Dependencies
Code & Tests
- Cyclomatic complexity
- 2.0 median / 42 max
- Test cases
- 155 / 0.00 per code line
Test coverage
Line coverage
80%
Expression
76.0%
Tests / Examples
80.0% / 56% ex
Functions
160 52 exported
Complexity
4.4 avg / 42 max
Call network
160 nodes / 221 edges
Call graph
Open call graph →Lowest coverage
160 functions| Function | Cyclo | Coverage |
|---|---|---|
| apply_transform exp | 1 | 0% |
| center_scale exp | 4 | 0% |
| fit_transform exp | 1 | 0% |
| get_feature_names exp | 1 | 0% |
| get_score_frame exp | 1 | 0% |
| get_transform exp | 1 | 0% |
People & History
50 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.6.5Latest
- RR 4.4.0 released · 2024-04-24
- 1.6.42023-08-19 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.6.32021-06-11 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 1.6.22020-10-17 · diff ↗
- 1.6.12020-08-12 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.6.02020-03-11 · diff ↗
- 1.5.22020-02-08 · diff ↗
- 1.5.12020-01-16 · diff ↗
- 1.5.02020-01-08 · diff ↗
Show 46 earlier events
- 1.4.82019-12-08 · diff ↗
- 1.4.72019-10-01 · diff ↗
- 1.4.62019-09-23 · diff ↗
- 1.4.52019-09-11 · diff ↗
- 1.4.42019-07-27 · diff ↗
- 1.4.32019-07-18 · diff ↗
- 1.4.22019-07-01 · diff ↗
- 1.4.02019-05-05 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.3.82019-03-31 · diff ↗
- 1.3.72019-02-21 · diff ↗
- 1.3.62019-02-09 · diff ↗
- 1.3.52019-01-27 · diff ↗
- 1.3.42019-01-02 · diff ↗
- 1.3.32018-12-17 · diff ↗
- 1.3.22018-11-05 · diff ↗
- 1.3.12018-09-10 · diff ↗
- 1.3.02018-07-20 · diff ↗
- 1.2.32018-07-11 · diff ↗
- 1.2.22018-07-04 · diff ↗
- 1.2.12018-06-27 · diff ↗
- 1.2.02018-06-19 · diff ↗
- 1.0.42018-05-05 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.0.32018-03-11 · diff ↗
- 1.0.22018-01-20 · diff ↗
- 1.0.12017-10-17 · diff ↗
- 1.0.02017-10-04 · diff ↗
- 0.6.02017-09-20 · diff ↗
- 0.5.322017-06-14 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 0.5.312017-04-14 · diff ↗
- 0.5.302017-01-21 · diff ↗
- 0.5.282016-10-25 · diff ↗
- 0.5.272016-08-17 · diff ↗
- 0.5.262016-07-12 · diff ↗
- 0.5.252016-05-03 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 0.5.232016-04-29 · diff ↗
- 0.5.222016-01-08 · diff ↗
- 0.5.212015-11-11 · diff ↗
- 0.5.202015-11-05 · diff ↗
- 0.5.182015-10-07 · diff ↗
- 0.5.162015-09-13 · diff ↗
- 0.5.142015-09-06
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-09-06
- Total releases
- 50 / 11 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 1.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet