Changelog • vtreat

Fix some links.
Remove LazyData decl.

Move to tinytest

Documentation improvements.

More S3 methods.
Back-port pyvtreat recommendation code to Rvtreat.

Control imputation on design_missingness_treatment.
Share cross-splits in multinomial mode to minimize data leakage.
Earlier argument checking.
Default classification target to TRUE.
Some documentation improvements.
Move wrapr to Depends.

Check for same-frame on prepare paths.
Pipe into ft.
Rename multinomial arguments to match other methods.
Move parallel to a suggestion and configure a global option to shut it down ( vtreat.allow_parallel ).

Fix multinomial variable restriction.
Fix FT multinomial columns copy.
Work on ft serialization environments.
More tests.
Improve custom coder flexibility.

Center/scale improvement from nfultz.
Documentation updates.
fit_tranform interface.

fix wrong y-name in multinomial cross frame.

Some doc updates.

Some doc updates.

Adjust license to GPL-2 | GPL-3
Some doc updates.

Fix bug in custom coder NA path and let numeric coder center if wanted.
More tests.

Fix eronious Cohen reference in documentation.

Fancy level and variable names.
More tests on odd level names (and collisions).

Remove spline from default value variables.
Fix ggplot2 vignette dependence issue.
Make treatment plans pipeable targets.

Fix design_missingness_treatment() prepare.
Move to wrapr test runner.

Add patch_columns_into_frame().
Fix column name munging.
Start switching to RUnit tests.

Make categorical scoring default TRUE.
logit-ize custom coders.
spline custom coder.
Get stricter about row ordering in building custom coders.
neaten up printing a bit.
Collar spline and lower its complexity.

Accept pre-built approximation tables from numeric custom coders.
Fix .customCodeNum() extrapolation, down-sampling, and remote numeric “.center” option.
More docs.

remove _clean suffix.
Fix non-scalar comparisions (mostly form class vectors).
add segmented variable calculation.
add pre-computed split plan.
bump dependencies.
Example higher order coders.

force parent.frame
add a drop columns option to design_missingness_treatment()
Doc fixes

Fix variable naming in multi class case.
Some doc fixes.
Start on NaN and Infinity on databases.
More tests.

Fix z-split annotation issue.
Change designTreatmentsZ() defaults.
Documentation fixes.
Multiclass treatments.
Simple treatments.
Fix CRAN Note on pre 3.5.0 R parallel usage.

Smooth catP novel levels scoring a bit.
Fix check error on parallel::getDefaultCluster()

Fix issue 19.
Do not use NULL to signal when parallelism is desired.

default data.table merging on (may be a performance regression to not set this).
rqdatatable treatment path.
better formatting.
add extracols argument to prepare().
Improve regexps.

Translate treatment plans to rquery.
Minor documentation improvements.
Improve error messages on argument checking.
Improve name generation (remove dots).
Remove dplyr dependence.

Add data.table as an optional row-binder.
Declare an R version.

parallel indicator calculation.
add optional warning on encountering novel levels in prepare.

bind options.
fix deps.
restore parallel test.
kWayStratifiedY performance fix from @khotilov Vadim Khotilovich.

Minor documentation fixes.
rm data.table (possibly related to issues 2413 or 2418).

Minor documentation fixes.
More work on novel values for non-centered custom coders.
Numeric custom coders.
Isotone examples.

Add codeRestriction option to design steps.
Prepare for custom models.
Prefer data.table::rbindlist() for assembling frames.
Add forceSplit mode.

Add codeRestriction option to prepare().

make prueSig an optional argument in prepare, and force by-name access.
Remove left.op=TRUE from findInterval in “vtreat Rare Levels” vignette (seems to be a new addition to findInterval, so fails CRAN check r-oldrel-windows-ix86+x86_64).

General improvements in documentation and vignettes.
Document saving/loading treatment plans.

Add ‘rsq’ column to scoreFrame (rsq- for numeric targets, pseudo-rsq for categorical targets).

Fix treatment of constant columns in cross-partitions.
Switch doCollar default to FALSE.
Return indicators on designTreatmentsZ.
Fix extraDegreesOfFreedom calculation.
Allow repeated application rows in cross frames.
Remove lsig and csig from scoreFrame.
Add meanY to treatmentplan.
Documentation fixes.

Changes:

Change catB variables to delta-logit score.
Fix passing of arguments to parallel prepare, and reduce size of data passed.
Ensure set of variables consistency in mkCross* methods.
More parallelization of level significance calculations, and cheaper chi-square test where appropriate.

Facilities for y-stratified and grouped splitting (useful for unbalanced classes).
catScaling=TRUE mode uses logistic regression for y-aware variable scaling.
Fix erroneous bad type warning on date columns.

Fix bug that caused catB variables to be scored as “insignificant”.
Add test to check for above bug.
Expose cross validation controls.
More guards on significance calculations.

Fix issue of non-significant variables not being scaled.
Documentation fixes, document variable types, improve vignettes.
Minor performance fixes on result accumulation.
Add optional use of dplyr for row binding (of score report frames).

Calculations of non catX significances are now deterministic
Catch mis-naming or non-varying y earlier
Expose buildEvalSets as a public function
More tests

Isolated “cross” or “out of sample” frame generation into mkCrossFrameCExperiment() and mkCrossFrameNExperiment()
Many small bug fixes and corner cases patched

Simplified out of sample frame generation
Added “no-Y” treatment option
Minor documentation fixes

Fixed bugs in cross-validated mode
Force out of sample calculations in more situations
Fix vignette titles
Fix documentation
Do not allow small or insufficiently varying data frames (exact conditions in documentation)

Unified rare level treatment
Separate treatment of insignificant levels
Tests confirming compatibility with ‘data.table’
More special case hardening
Over-fit vignette
Minor documentation fixes

First CRAN release