From 090cba7fbaf0f0074c349b1078ea680f938af4c7 Mon Sep 17 00:00:00 2001 From: John Mount Date: Sun, 22 Sep 2019 15:25:33 -0700 Subject: [PATCH] rebuild and recheck --- DESCRIPTION | 4 +- README.md | 24 +++--- cran-comments.md | 30 +++---- docs/CONTRIBUTING.html | 2 +- docs/LICENSE-text.html | 2 +- docs/articles/MultiClassVtreat.html | 4 +- docs/articles/SavingTreamentPlans.html | 4 +- docs/articles/VariableImportance.html | 10 +-- docs/articles/index.html | 2 +- docs/articles/vtreat.html | 28 +++---- docs/articles/vtreatCrossFrames.html | 38 ++++----- docs/articles/vtreatGrouping.html | 4 +- docs/articles/vtreatOverfit.html | 38 ++++----- docs/articles/vtreatRareLevels.html | 4 +- docs/articles/vtreatScaleMode.html | 28 +++---- docs/articles/vtreatSignificance.html | 18 ++--- docs/articles/vtreatSplitting.html | 16 ++-- docs/articles/vtreatVariableTypes.html | 80 +++++++++---------- docs/authors.html | 2 +- docs/index.html | 16 ++-- docs/news/index.html | 4 +- docs/paper.html | 2 +- docs/reference/as_rquery_plan.html | 42 +++++----- docs/reference/buildEvalSets.html | 2 +- docs/reference/center_scale.html | 2 +- docs/reference/designTreatmentsC.html | 12 +-- docs/reference/designTreatmentsN.html | 12 +-- docs/reference/designTreatmentsZ.html | 12 +-- .../design_missingness_treatment.html | 2 +- docs/reference/flatten_fn_list.html | 2 +- docs/reference/format.vtreatment.html | 2 +- docs/reference/getSplitPlanAppLabels.html | 2 +- docs/reference/index.html | 2 +- docs/reference/kWayCrossValidation.html | 2 +- docs/reference/kWayStratifiedY.html | 2 +- docs/reference/kWayStratifiedYReplace.html | 2 +- ...akekWayCrossValidationGroupedByColumn.html | 2 +- docs/reference/mkCrossFrameCExperiment.html | 8 +- docs/reference/mkCrossFrameMExperiment.html | 2 +- docs/reference/mkCrossFrameNExperiment.html | 8 +- docs/reference/novel_value_summary.html | 2 +- docs/reference/oneWayHoldout.html | 2 +- docs/reference/patch_columns_into_frame.html | 2 +- docs/reference/ppCoderC.html | 2 +- docs/reference/ppCoderN.html | 2 +- docs/reference/pre_comp_xval.html | 2 +- docs/reference/prepare.html | 2 +- docs/reference/prepare.multinomial_plan.html | 2 +- docs/reference/prepare.simple_plan.html | 2 +- docs/reference/prepare.treatmentplan.html | 32 ++++---- docs/reference/print.multinomial_plan.html | 2 +- docs/reference/print.simple_plan.html | 2 +- docs/reference/print.treatmentplan.html | 2 +- docs/reference/print.vtreatment.html | 2 +- docs/reference/problemAppPlan.html | 2 +- docs/reference/reexports.html | 2 +- docs/reference/rqdatatable_prepare.html | 2 +- docs/reference/rquery_prepare.html | 2 +- docs/reference/run_vtreat_tests.html | 2 +- docs/reference/solveIsotone.html | 2 +- docs/reference/solveNonDecreasing.html | 2 +- docs/reference/solveNonIncreasing.html | 2 +- docs/reference/solve_piecewise.html | 2 +- docs/reference/solve_piecewisec.html | 2 +- docs/reference/spline_variable.html | 2 +- docs/reference/spline_variablec.html | 2 +- docs/reference/square_window.html | 2 +- docs/reference/square_windowc.html | 2 +- docs/reference/track_values.html | 2 +- docs/reference/value_variables_C.html | 2 +- docs/reference/value_variables_N.html | 2 +- docs/reference/variable_values.html | 2 +- docs/reference/vnames.html | 2 +- docs/reference/vorig.html | 2 +- docs/reference/vtreat.html | 2 +- extras/check_reverse_dependencies.md | 6 +- 76 files changed, 292 insertions(+), 292 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 5179ab0a..5a330052 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: vtreat Type: Package Title: A Statistically Sound 'data.frame' Processor/Conditioner -Version: 1.4.5 -Date: 2019-09-11 +Version: 1.4.6 +Date: 2019-09-22 Authors@R: c( person("John", "Mount", email = "jmount@win-vector.com", role = c("aut", "cre")), person("Nina", "Zumel", email = "nzumel@win-vector.com", role = c("aut")), diff --git a/README.md b/README.md index c26e0401..ae1698c1 100644 --- a/README.md +++ b/README.md @@ -274,7 +274,7 @@ Trivial example: ``` r library("vtreat") packageVersion("vtreat") - # [1] '1.4.5' + # [1] '1.4.6' citation('vtreat') # # To cite package 'vtreat' in publications use: @@ -304,14 +304,14 @@ dTestC <- data.frame(x=c('a', 'b', 'c', NA), z=c(10, 20, 30, NA)) treatmentsC <- designTreatmentsC(dTrainC, colnames(dTrainC), 'y', TRUE, verbose=FALSE) print(treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')]) - # origName varName code rsq sig extraModelDegrees - # 1 x x_catP catP 1.030137e-01 0.32099590 2 - # 2 x x_catB catB 1.125399e-05 0.99172381 2 - # 3 z z clean 2.376018e-01 0.13176020 0 - # 4 z z_isBAD isBAD 2.960654e-01 0.09248399 0 - # 5 x x_lev_NA lev 2.960654e-01 0.09248399 0 - # 6 x x_lev_x_a lev 1.300057e-01 0.26490379 0 - # 7 x x_lev_x_b lev 6.067337e-03 0.80967242 0 + # origName varName code rsq sig extraModelDegrees + # 1 x x_catP catP 0.111456141 0.30194137 2 + # 2 x x_catB catB 0.033761011 0.56994212 2 + # 3 z z clean 0.237601767 0.13176020 0 + # 4 z z_isBAD isBAD 0.296065432 0.09248399 0 + # 5 x x_lev_NA lev 0.296065432 0.09248399 0 + # 6 x x_lev_x_a lev 0.130005705 0.26490379 0 + # 7 x x_lev_x_b lev 0.006067337 0.80967242 0 # help("prepare") @@ -349,9 +349,9 @@ treatmentsN = designTreatmentsN(dTrainN, colnames(dTrainN), 'y', verbose=FALSE) print(treatmentsN$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')]) # origName varName code rsq sig extraModelDegrees - # 1 x x_catP catP 2.105263e-01 0.2528101 2 - # 2 x x_catN catN 3.205128e-03 0.8940756 2 - # 3 x x_catD catD 6.666667e-02 0.5369633 2 + # 1 x x_catP catP 2.197309e-01 0.2413478 2 + # 2 x x_catN catN 7.286735e-02 0.5179131 2 + # 3 x x_catD catD 2.227248e-01 0.2377286 2 # 4 z z clean 2.880952e-01 0.1701892 0 # 5 z z_isBAD isBAD 3.333333e-01 0.1339746 0 # 6 x x_lev_NA lev 3.333333e-01 0.1339746 0 diff --git a/cran-comments.md b/cran-comments.md index 14c670c2..1bb18b9a 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -6,34 +6,34 @@ ### OSX - R CMD check --as-cran vtreat_1.4.5.tar.gz + R CMD check --as-cran vtreat_1.4.6.tar.gz * using R version 3.6.0 (2019-04-26) * using platform: x86_64-apple-darwin15.6.0 (64-bit) * using session charset: UTF-8 * using option ‘--as-cran’ * checking for file ‘vtreat/DESCRIPTION’ ... OK * checking extension type ... Package - * this is package ‘vtreat’ version ‘1.4.5’ + * this is package ‘vtreat’ version ‘1.4.6’ * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers Maintainer: ‘John Mount ’ Status: OK + ### Windows rhub::check_for_cran() - 595#> * using R Under development (unstable) (2019-08-30 r77101) - 596#> * using platform: x86_64-w64-mingw32 (64-bit) - 597#> * using session charset: ISO8859-1 - 598#> * using option '--as-cran' - 599#> * checking for file 'vtreat/DESCRIPTION' ... OK - 600#> * checking extension type ... Package - 601#> * this is package 'vtreat' version '1.4.5' - 602#> * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers - 603#> Maintainer: 'John Mount ' - 645#> * checking sizes of PDF files under 'inst/doc' ... NOTE - 646#> Unable to find GhostScript executable to run checks on size reduction - 660#> * DONE - 661#> Status: 1 NOTE + 623#> * using R Under development (unstable) (2019-09-18 r77193) + 624#> * using platform: x86_64-w64-mingw32 (64-bit) + 625#> * using session charset: ISO8859-1 + 626#> * using option '--as-cran' + 627#> * checking for file 'vtreat/DESCRIPTION' ... OK + 628#> * checking extension type ... Package + 629#> * this is package 'vtreat' version '1.4.6' + 630#> * checking CRAN incoming feasibility ... Note_to_CRAN_maintainers + 631#> Maintainer: 'John Mount ' + 673#> * checking sizes of PDF files under 'inst/doc' ... NOTE + 674#> Unable to find GhostScript executable to run checks on size reduction + 689#> Status: 1 NOTE GhostScript NOTE is a property of the test environment, not the package. ## Downstream dependencies diff --git a/docs/CONTRIBUTING.html b/docs/CONTRIBUTING.html index 87ba787c..17569226 100644 --- a/docs/CONTRIBUTING.html +++ b/docs/CONTRIBUTING.html @@ -64,7 +64,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html index 125a151f..5b1e5b96 100644 --- a/docs/LICENSE-text.html +++ b/docs/LICENSE-text.html @@ -64,7 +64,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/articles/MultiClassVtreat.html b/docs/articles/MultiClassVtreat.html index ad446153..1900c60d 100644 --- a/docs/articles/MultiClassVtreat.html +++ b/docs/articles/MultiClassVtreat.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

Multi Class vtreat

John Mount

-

2019-09-11

+

2019-09-22

Source: vignettes/MultiClassVtreat.Rmd diff --git a/docs/articles/SavingTreamentPlans.html b/docs/articles/SavingTreamentPlans.html index ed3fbe76..0fd4a5e5 100644 --- a/docs/articles/SavingTreamentPlans.html +++ b/docs/articles/SavingTreamentPlans.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

Saving Treatment Plans

John Mount

-

2019-09-11

+

2019-09-22

Source: vignettes/SavingTreamentPlans.Rmd diff --git a/docs/articles/VariableImportance.html b/docs/articles/VariableImportance.html index c9c788f5..4b32b388 100644 --- a/docs/articles/VariableImportance.html +++ b/docs/articles/VariableImportance.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

vtreat Variable Importance

John Mount

-

2019-09-11

+

2019-09-22

Source: vignettes/VariableImportance.Rmd @@ -142,9 +142,9 @@

2019-09-11

d, varlist = c("x", "x_noise"), outcomename = "y") -
## [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:33 2019"
-## [1] " start cross frame work Wed Sep 11 08:19:33 2019"
-## [1] " vtreat::mkCrossFrameNExperiment done Wed Sep 11 08:19:33 2019"
+
## [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:17:05 2019"
+## [1] " start cross frame work Sun Sep 22 15:17:05 2019"
+## [1] " vtreat::mkCrossFrameNExperiment done Sun Sep 22 15:17:05 2019"
sf <- cfe$treatments$scoreFrame
 knitr::kable(sf[, c("varName", "rsq", "sig")])
diff --git a/docs/articles/index.html b/docs/articles/index.html index 054e7725..d697ceea 100644 --- a/docs/articles/index.html +++ b/docs/articles/index.html @@ -64,7 +64,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/articles/vtreat.html b/docs/articles/vtreat.html index cd6d9230..829a5777 100644 --- a/docs/articles/vtreat.html +++ b/docs/articles/vtreat.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

vtreat package

John Mount, Nina Zumel

-

2019-09-11

+

2019-09-22

Source: vignettes/vtreat.Rmd @@ -208,7 +208,7 @@

2019-09-11

Trivial example:

library("vtreat")
 packageVersion("vtreat")
-
## [1] '1.4.5'
+
## [1] '1.4.6'
citation('vtreat')
## 
 ## To cite package 'vtreat' in publications use:
@@ -237,14 +237,14 @@ 
2019-09-11

 treatmentsC <- designTreatmentsC(dTrainC, colnames(dTrainC), 'y', TRUE,
                                  verbose=FALSE)
 print(treatmentsC$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')])
-
##   origName   varName  code         rsq        sig extraModelDegrees
-## 1        x    x_catP  catP 0.060049677 0.44862725                 2
-## 2        x    x_catB  catB 0.127625394 0.26932340                 2
-## 3        z         z clean 0.237601767 0.13176020                 0
-## 4        z   z_isBAD isBAD 0.296065432 0.09248399                 0
-## 5        x  x_lev_NA   lev 0.296065432 0.09248399                 0
-## 6        x x_lev_x_a   lev 0.130005705 0.26490379                 0
-## 7        x x_lev_x_b   lev 0.006067337 0.80967242                 0
+
##   origName   varName  code          rsq        sig extraModelDegrees
+## 1        x    x_catP  catP 1.559780e-01 0.22202097                 2
+## 2        x    x_catB  catB 1.142159e-05 0.99166241                 2
+## 3        z         z clean 2.376018e-01 0.13176020                 0
+## 4        z   z_isBAD isBAD 2.960654e-01 0.09248399                 0
+## 5        x  x_lev_NA   lev 2.960654e-01 0.09248399                 0
+## 6        x x_lev_x_a   lev 1.300057e-01 0.26490379                 0
+## 7        x x_lev_x_b   lev 6.067337e-03 0.80967242                 0
# help("prepare")
 
 dTrainCTreated <- prepare(treatmentsC, dTrainC, pruneSig=1.0, scale=TRUE)
@@ -278,9 +278,9 @@ 
2019-09-11

                                 verbose=FALSE)
 print(treatmentsN$scoreFrame[, c('origName', 'varName', 'code', 'rsq', 'sig', 'extraModelDegrees')])
##   origName   varName  code          rsq       sig extraModelDegrees
-## 1        x    x_catP  catP 2.105263e-01 0.2528101                 2
-## 2        x    x_catN  catN 4.310345e-03 0.8772535                 2
-## 3        x    x_catD  catD 2.302479e-01 0.2288609                 2
+## 1        x    x_catP  catP 1.764706e-01 0.3001022                 2
+## 2        x    x_catN  catN 3.533569e-03 0.8888051                 2
+## 3        x    x_catD  catD 3.743113e-01 0.1069707                 2
 ## 4        z         z clean 2.880952e-01 0.1701892                 0
 ## 5        z   z_isBAD isBAD 3.333333e-01 0.1339746                 0
 ## 6        x  x_lev_NA   lev 3.333333e-01 0.1339746                 0
diff --git a/docs/articles/vtreatCrossFrames.html b/docs/articles/vtreatCrossFrames.html
index 149ecaea..3eeaed0d 100644
--- a/docs/articles/vtreatCrossFrames.html
+++ b/docs/articles/vtreatCrossFrames.html
@@ -30,7 +30,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
       
     
 
@@ -113,7 +113,7 @@
       
vtreat cross frames

                         
John Mount, Nina Zumel

             
-            
2019-09-11

+            
2019-09-22

       
       Source: vignettes/vtreatCrossFrames.Rmd
       
@@ -166,13 +166,13 @@ 

                                         'y',TRUE,
   rareCount=0 # Note: usually want rareCount>0, setting to zero to illustrate problem
 )
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:38 2019"
-## [1] "designing treatments Wed Sep 11 08:19:38 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:38 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:39 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:39 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:39 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:39 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:10 2019"
+## [1] "designing treatments Sun Sep 22 15:17:10 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:10 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:11 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:11 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:11 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:11 2019"
dTrainTreated <- vtreat::prepare(treatments,dTrain,
   pruneSig=c() # Note: usually want pruneSig to be a small fraction, setting to null to illustrate problems
 )
@@ -250,13 +250,13 @@ 

                                         'y',TRUE,
   rareCount=0 # Note: usually want rareCount>0, setting to zero to illustrate problem
 )
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:39 2019"
-## [1] "designing treatments Wed Sep 11 08:19:39 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:39 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:39 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:39 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:39 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:39 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:11 2019"
+## [1] "designing treatments Sun Sep 22 15:17:11 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:11 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:11 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:11 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:11 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:11 2019"
-
## [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:40 2019"
-## [1] " start cross frame work Wed Sep 11 08:19:40 2019"
-## [1] " vtreat::mkCrossFrameCExperiment done Wed Sep 11 08:19:41 2019"
+
## [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:17:12 2019"
+## [1] " start cross frame work Sun Sep 22 15:17:12 2019"
+## [1] " vtreat::mkCrossFrameCExperiment done Sun Sep 22 15:17:13 2019"
treatments <- prep$treatments
 
 knitr::kable(treatments$scoreFrame[,c('varName','sig')])
diff --git a/docs/articles/vtreatGrouping.html b/docs/articles/vtreatGrouping.html index 6a5e84ad..8d6f8aa5 100644 --- a/docs/articles/vtreatGrouping.html +++ b/docs/articles/vtreatGrouping.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

Grouping Example

Nina Zumel, Nate Sutton

-

2019-09-11

+

2019-09-22

Source: vignettes/vtreatGrouping.Rmd diff --git a/docs/articles/vtreatOverfit.html b/docs/articles/vtreatOverfit.html index 8cd4532b..4f99afcc 100644 --- a/docs/articles/vtreatOverfit.html +++ b/docs/articles/vtreatOverfit.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

vtreat overfit

John Mount, Nina Zumel

-

2019-09-11

+

2019-09-22

Source: vignettes/vtreatOverfit.Rmd @@ -145,13 +145,13 @@

treatments <- vtreat::designTreatmentsC(dTrain,'x','y',TRUE, rareCount=0 # Note: usually want rareCount>0, setting to zero to illustrate problem ) -
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:45 2019"
-## [1] "designing treatments Wed Sep 11 08:19:45 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:45 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:45 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:45 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:45 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:45 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:17 2019"
+## [1] "designing treatments Sun Sep 22 15:17:17 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:17 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:17 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:17 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:17 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:17 2019"
dTrainTreated <- vtreat::prepare(treatments,dTrain,
   pruneSig=c() # Note: usually want pruneSig to be a small fraction, setting to null to illustrate problem
 )
@@ -245,13 +245,13 @@ 

                                         rareCount=0,  # Note set this to something larger, like 5
                                         rareSig=c() # Note set this to something like 0.3
 )
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:45 2019"
-## [1] "designing treatments Wed Sep 11 08:19:45 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:45 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:45 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:45 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:45 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:46 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:18 2019"
+## [1] "designing treatments Sun Sep 22 15:17:18 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:18 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:18 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:18 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:18 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:18 2019"
dTrainTreated <- vtreat::prepare(treatments,dTrain,
                                  pruneSig=c() # Note: set this to filter, like 0.05 or 1/nvars
 )
@@ -320,9 +320,9 @@ 

 xdat <- vtreat::mkCrossFrameCExperiment(dTrain,'x','y',TRUE,
                                   rareCount=0,  # Note set this to something larger, like 5
                                   rareSig=c())
-
## [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:46 2019"
-## [1] " start cross frame work Wed Sep 11 08:19:46 2019"
-## [1] " vtreat::mkCrossFrameCExperiment done Wed Sep 11 08:19:46 2019"
+
## [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:17:18 2019"
+## [1] " start cross frame work Sun Sep 22 15:17:18 2019"
+## [1] " vtreat::mkCrossFrameCExperiment done Sun Sep 22 15:17:18 2019"
treatments <- xdat$treatments
 print(treatments$scoreFrame)
##   varName varMoves          rsq          sig needsSplit extraModelDegrees
diff --git a/docs/articles/vtreatRareLevels.html b/docs/articles/vtreatRareLevels.html
index 7392407f..bf6d64c5 100644
--- a/docs/articles/vtreatRareLevels.html
+++ b/docs/articles/vtreatRareLevels.html
@@ -30,7 +30,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
       
     
 
@@ -113,7 +113,7 @@
       
vtreat Rare Levels

                         
John Mount

             
-            
2019-09-11

+            
2019-09-22

       
       Source: vignettes/vtreatRareLevels.Rmd
       
diff --git a/docs/articles/vtreatScaleMode.html b/docs/articles/vtreatScaleMode.html
index a736e45c..9de17b8e 100644
--- a/docs/articles/vtreatScaleMode.html
+++ b/docs/articles/vtreatScaleMode.html
@@ -30,7 +30,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
       
     
 
@@ -113,7 +113,7 @@
       
vtreat scale mode

                         
Win-Vector LLC

             
-            
2019-09-11

+            
2019-09-22

       
       Source: vignettes/vtreatScaleMode.Rmd
       
@@ -183,12 +183,12 @@ 
2019-09-11

 slopeFrame$badSlope <-
   ifelse(is.na(slopeFrame$slope), TRUE, abs(slopeFrame$slope - 1) > 1.e-8)
 print(slopeFrame)
-
##     varName          mean slope        sig badSlope
-## 1    x_catP  1.850372e-17     1 0.03392101    FALSE
-## 2    x_catB  1.387779e-17     1 1.00000000    FALSE
-## 3  x_lev_NA -6.938894e-18     1 0.20766228    FALSE
-## 4 x_lev_x_a  0.000000e+00     1 0.40972582    FALSE
-## 5 x_lev_x_b  0.000000e+00    NA 1.00000000     TRUE
+
##     varName          mean slope       sig badSlope
+## 1    x_catP  1.850372e-17     1 0.1547700    FALSE
+## 2    x_catB  1.387779e-17     1 0.5160763    FALSE
+## 3  x_lev_NA -6.938894e-18     1 0.2076623    FALSE
+## 4 x_lev_x_a  0.000000e+00     1 0.4097258    FALSE
+## 5 x_lev_x_b  0.000000e+00    NA 1.0000000     TRUE

The above claims are true with the exception of the derived variable x_lev_x.b. This is because the outcome variable y has identical distribution when the original variable x==‘b’ and when x!=‘b’ (on half the time in both cases). This means y is perfectly independent of x==‘b’ and the regression slope must be zero (thus, cannot be 1). vtreat now treats this as needing to scale by a multiplicative factor of zero. Note also that the significance level associated with x_lev_x.b is large, making this variable easy to prune. The varMoves and significance facts in treatmentsC$scoreFrame are about the un-scaled frame (where x_lev_x.b does in fact move).

For a good discussion of the application of y-aware scaling to Principal Components Analysis please see here.

Previous versions of vtreat (0.5.22 and earlier) would copy variables that could not be sensibly scaled into the treated frame unaltered. This was considered the “most faithful” thing to do. However we now feel that this practice was not safe for many downstream procedures, such as principal components analysis and geometric clustering.

@@ -263,9 +263,9 @@

cEraw <- vtreat::mkCrossFrameNExperiment(dTrainN, c('x1','x2','x3'),'y', scale=TRUE) -
## [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:52 2019"
-## [1] " start cross frame work Wed Sep 11 08:19:52 2019"
-## [1] " vtreat::mkCrossFrameNExperiment done Wed Sep 11 08:19:52 2019"
+
## [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:17:25 2019"
+## [1] " start cross frame work Sun Sep 22 15:17:25 2019"
+## [1] " vtreat::mkCrossFrameNExperiment done Sun Sep 22 15:17:25 2019"
## [1] "x1" "x2" "x3"
@@ -285,9 +285,9 @@

cEscaled <- vtreat::mkCrossFrameNExperiment(dTrainN, c('x1','x2','x3'),'yScaled', scale=TRUE) -
## [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:52 2019"
-## [1] " start cross frame work Wed Sep 11 08:19:52 2019"
-## [1] " vtreat::mkCrossFrameNExperiment done Wed Sep 11 08:19:52 2019"
+
## [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:17:25 2019"
+## [1] " start cross frame work Sun Sep 22 15:17:25 2019"
+## [1] " vtreat::mkCrossFrameNExperiment done Sun Sep 22 15:17:25 2019"
## [1] "x1" "x2" "x3"
diff --git a/docs/articles/vtreatSignificance.html b/docs/articles/vtreatSignificance.html index 97d55cd6..a6c95e80 100644 --- a/docs/articles/vtreatSignificance.html +++ b/docs/articles/vtreatSignificance.html @@ -30,7 +30,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -113,7 +113,7 @@

vtreat significance

John Mount, Nina Zumel

-

2019-09-11

+

2019-09-22

Source: vignettes/vtreatSignificance.Rmd @@ -167,13 +167,13 @@

2019-09-11

## 2 FALSE lev002 lev002F ## 252 FALSE lev002 lev002F
treatmentsC <- vtreat::designTreatmentsC(d,c('catVarNoise','catVarPerfect'),'y',TRUE)
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:54 2019"
-## [1] "designing treatments Wed Sep 11 08:19:54 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:54 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:54 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:54 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:54 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:54 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:28 2019"
+## [1] "designing treatments Sun Sep 22 15:17:28 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:28 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:28 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:28 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:28 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:28 2019"
# Estimate effect significance (not coefficient significance).
 estSigGLM <- function(xVar,yVar,numberOfHiddenDegrees=0) {
   d <- data.frame(x=xVar,y=yVar,stringsAsFactors = FALSE)
diff --git a/docs/articles/vtreatSplitting.html b/docs/articles/vtreatSplitting.html
index c7254d53..5109a087 100644
--- a/docs/articles/vtreatSplitting.html
+++ b/docs/articles/vtreatSplitting.html
@@ -30,7 +30,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
@@ -113,7 +113,7 @@

vtreat splitting

John Mount, Nina Zumel

-

2019-09-11

+

2019-09-22

Source: vignettes/vtreatSplitting.Rmd @@ -262,26 +262,26 @@

## overlap 
## [[1]]
 ## [[1]]$train
-## [1] 1 3 4 5
+## [1] 1 2 4 5
 ## 
 ## [[1]]$app
-## [1] 2
+## [1] 3
 ## 
 ## 
 ## [[2]]
 ## [[2]]$train
-## [1] 2 3 4
+## [1] 1 2 3
 ## 
 ## [[2]]$app
-## [1] 5 1
+## [1] 5 4
 ## 
 ## 
 ## [[3]]
 ## [[3]]$train
-## [1] 1 2 5
+## [1] 3 4 5
 ## 
 ## [[3]]$app
-## [1] 3 4
+## [1] 2 1
 ## 
 ## 
 ## attr(,"splitmethod")
diff --git a/docs/articles/vtreatVariableTypes.html b/docs/articles/vtreatVariableTypes.html
index e03b9046..cd3ef55d 100644
--- a/docs/articles/vtreatVariableTypes.html
+++ b/docs/articles/vtreatVariableTypes.html
@@ -30,7 +30,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
       
     
 
@@ -113,7 +113,7 @@
       
Variable Types

                         
Win-Vector LLC

             
-            
2019-09-11

+            
2019-09-22

       
       Source: vignettes/vtreatVariableTypes.Rmd
       
@@ -145,18 +145,18 @@ 

    z=c(1,2,3,4,NA,6),y=c(FALSE,FALSE,TRUE,FALSE,TRUE,TRUE),
    stringsAsFactors = FALSE)
 treatmentsC <- designTreatmentsC(dTrainC,colnames(dTrainC),'y',TRUE)
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:58 2019"
-## [1] "designing treatments Wed Sep 11 08:19:58 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:58 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:59 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:59 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:59 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:59 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:33 2019"
+## [1] "designing treatments Sun Sep 22 15:17:33 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:33 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:33 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:33 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:33 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:33 2019"
scoreColsToPrint <- c('origName','varName','code','rsq','sig','extraModelDegrees')
 print(treatmentsC$scoreFrame[,scoreColsToPrint])
##   origName   varName  code        rsq       sig extraModelDegrees
-## 1        x    x_catP  catP 0.24340634 0.1547700                 2
-## 2        x    x_catB  catB 0.05070201 0.5160763                 2
+## 1        x    x_catP  catP 0.11457614 0.3289524                 2
+## 2        x    x_catB  catB 0.12081050 0.3161341                 2
 ## 3        z         z clean 0.25792985 0.1429977                 0
 ## 4        z   z_isBAD isBAD 0.19087450 0.2076623                 0
 ## 5        x  x_lev_NA   lev 0.19087450 0.2076623                 0
@@ -172,7 +172,7 @@ 

 
# Map significances back to original variables
 aggregate(sig~origName,data=treatmentsC$scoreFrame,FUN=min)

 
##   origName       sig
-## 1        x 0.1547700
+## 1        x 0.2076623
 ## 2        z 0.1429977

 
In the scoreFrame the sig column is the significance of the single variable logistic regression using the named variable (plus a constant term), and the rsq column is the “pseudo-r-squared” or portion of deviance explained (please see here for some notes).

 
Essentially a derived variable name is built by concatenating an original variable name and a treatment type (also recorded in the code column for convenience). The codes give the different ‘vtreat’ variable types (or really meanings, as all derived variables are numeric).

@@ -199,23 +199,23 @@ 

    z=c(1,2,3,4,NA,6),y=as.numeric(c(FALSE,FALSE,TRUE,FALSE,TRUE,TRUE)),
    stringsAsFactors = FALSE)
 treatmentsN <- designTreatmentsN(dTrainN,colnames(dTrainN),'y')
-
## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:59 2019"
-## [1] "designing treatments Wed Sep 11 08:19:59 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:59 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:59 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:59 2019"
-## [1] "rescoring complex variables Wed Sep 11 08:19:59 2019"
-## [1] "done rescoring complex variables Wed Sep 11 08:19:59 2019"
+
## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:33 2019"
+## [1] "designing treatments Sun Sep 22 15:17:33 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:33 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:33 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:33 2019"
+## [1] "rescoring complex variables Sun Sep 22 15:17:33 2019"
+## [1] "done rescoring complex variables Sun Sep 22 15:17:33 2019"
print(treatmentsN$scoreFrame[,scoreColsToPrint])
-
##   origName   varName  code          rsq       sig extraModelDegrees
-## 1        x    x_catP  catP 4.385965e-01 0.1518345                 2
-## 2        x    x_catN  catN 1.110223e-16 1.0000000                 2
-## 3        x    x_catD  catD 1.111111e-01 0.5185185                 2
-## 4        z         z clean 3.045045e-01 0.2562868                 0
-## 5        z   z_isBAD isBAD 2.000000e-01 0.3739010                 0
-## 6        x  x_lev_NA   lev 2.000000e-01 0.3739010                 0
-## 7        x x_lev_x_a   lev 1.111111e-01 0.5185185                 0
-## 8        x x_lev_x_b   lev 0.000000e+00 1.0000000                 0
+
##   origName   varName  code       rsq       sig extraModelDegrees
+## 1        x    x_catP  catP 0.2857143 0.2745766                 2
+## 2        x    x_catN  catN 0.1052632 0.5304117                 2
+## 3        x    x_catD  catD 0.1111111 0.5185185                 2
+## 4        z         z clean 0.3045045 0.2562868                 0
+## 5        z   z_isBAD isBAD 0.2000000 0.3739010                 0
+## 6        x  x_lev_NA   lev 0.2000000 0.3739010                 0
+## 7        x x_lev_x_a   lev 0.1111111 0.5185185                 0
+## 8        x x_lev_x_b   lev 0.0000000 1.0000000                 0

The treatment of numeric targets is similar to that of categorical targets. In the numeric case the possible derived variable types are:

  • @@ -243,11 +243,11 @@

    z=c(1,2,3,4,NA,6), stringsAsFactors = FALSE) treatmentsZ <- designTreatmentsZ(dTrainZ,colnames(dTrainZ)) -
    ## [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:59 2019"
-## [1] "designing treatments Wed Sep 11 08:19:59 2019"
-## [1] " have initial level statistics Wed Sep 11 08:19:59 2019"
-## [1] " scoring treatments Wed Sep 11 08:19:59 2019"
-## [1] "have treatment plan Wed Sep 11 08:19:59 2019"
    +
    ## [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:17:33 2019"
+## [1] "designing treatments Sun Sep 22 15:17:33 2019"
+## [1] " have initial level statistics Sun Sep 22 15:17:33 2019"
+## [1] " scoring treatments Sun Sep 22 15:17:33 2019"
+## [1] "have treatment plan Sun Sep 22 15:17:33 2019"
    print(treatmentsZ$scoreFrame[, c('origName','varName','code','extraModelDegrees')])
    ##   origName   varName  code extraModelDegrees
 ## 1        x    x_catP  catP                 2
@@ -331,13 +331,13 @@ 
    
                                                       'isBAD'),
                                  verbose=FALSE)
 print(treatmentsN$scoreFrame[,scoreColsToPrint])
    -
    ##   origName   varName  code          rsq       sig extraModelDegrees
-## 1        x    x_catN  catN 1.110223e-16 1.0000000                 2
-## 2        z         z clean 3.045045e-01 0.2562868                 0
-## 3        z   z_isBAD isBAD 2.000000e-01 0.3739010                 0
-## 4        x  x_lev_NA   lev 2.000000e-01 0.3739010                 0
-## 5        x x_lev_x_a   lev 1.111111e-01 0.5185185                 0
-## 6        x x_lev_x_b   lev 0.000000e+00 1.0000000                 0
    +
    ##   origName   varName  code       rsq       sig extraModelDegrees
+## 1        x    x_catN  catN 0.1052632 0.5304117                 2
+## 2        z         z clean 0.3045045 0.2562868                 0
+## 3        z   z_isBAD isBAD 0.2000000 0.3739010                 0
+## 4        x  x_lev_NA   lev 0.2000000 0.3739010                 0
+## 5        x x_lev_x_a   lev 0.1111111 0.5185185                 0
+## 6        x x_lev_x_b   lev 0.0000000 1.0000000                 0
    pruneSig <- 1.0 # don't filter on significance for this tiny example
 vScoreFrame <- treatmentsN$scoreFrame
 varsToUse <- vScoreFrame$varName[(vScoreFrame$sig<=pruneSig)]
diff --git a/docs/authors.html b/docs/authors.html
index 62bc5fe1..7b92a667 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -64,7 +64,7 @@
       
       
         vtreat
-        1.4.5
+        1.4.6
    diff --git a/docs/index.html b/docs/index.html index 1024c898..22d62aeb 100644 --- a/docs/index.html +++ b/docs/index.html @@ -35,7 +35,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -121,7 +121,7 @@

    vtreat is a data.frame processor/conditioner that prepares real-world data for supervised machine learning or predictive modeling in a statistically sound manner.

    -

    vtreat takes an input data.frame that has a specified column called “the outcome variable” (or “y”) that is the quantity to be predicted (and must not have missing values). Other input columns are possible explanatory variables (typically numeric or categorical/string-valued, these columns may have missing values) that the user later wants to use to predict “y”. In practice such an input data.frame may not be immediately suitable for machine learning procedures that often expect only numeric explanatory variables, and may not tolerate missing value.

    +

    vtreat takes an input data.frame that has a specified column called “the outcome variable” (or “y”) that is the quantity to be predicted (and must not have missing values). Other input columns are possible explanatory variables (typically numeric or categorical/string-valued, these columns may have missing values) that the user later wants to use to predict “y”. In practice such an input data.frame may not be immediately suitable for machine learning procedures that often expect only numeric explanatory variables, and may not tolerate missing values.

    To solve this, vtreat builds a transformed data.frame where all explanatory variable columns have been transformed into a number of numeric explanatory variable columns, without missing values. The vtreat implementation produces derived numeric columns that capture most of the information relating the explanatory columns to the specified “y” or dependent/outcome column through a number of numeric transforms (indicator variables, impact codes, prevalence codes, and more). This transformed data.frame is suitable for a wide range of supervised learning methods from linear regression, through gradient boosted machines.

    The idea is: you can take a data.frame of messy real world data and easily, faithfully, reliably, and repeatably prepare it for machine learning using documented methods using vtreat. Incorporating vtreat into your machine learning workflow lets you quickly work with very diverse structured data.

    For more detail please see here: arXiv:1611.09477 stat.AP (the documentation describes the R version, however all of the examples can be found worked in Python here).

    @@ -208,7 +208,7 @@

    Trivial example:

    @@ -150,7 +150,7 @@

    Changelog

    -vtreat 1.4.5 2019/09/11 Unreleased +vtreat 1.4.5 2019/09/11 2019-09-11

    • Some doc updates.
      • diff --git a/docs/paper.html b/docs/paper.html index fb052af5..f97a194c 100644 --- a/docs/paper.html +++ b/docs/paper.html @@ -64,7 +64,7 @@ vtreat - 1.4.5 + 1.4.6
    diff --git a/docs/reference/as_rquery_plan.html b/docs/reference/as_rquery_plan.html index 0e22ec1d..7518cbdd 100644 --- a/docs/reference/as_rquery_plan.html +++ b/docs/reference/as_rquery_plan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -213,13 +213,13 @@

    Examp rquery::rq_remove_table(db, rest$table_name) DBI::dbDisconnect(db) } -}
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:11 2019" -#> [1] "designing treatments Wed Sep 11 08:19:11 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:11 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:11 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:11 2019" -#> [1] "rescoring complex variables Wed Sep 11 08:19:11 2019" -#> [1] "done rescoring complex variables Wed Sep 11 08:19:11 2019" +}
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:40 2019" +#> [1] "designing treatments Sun Sep 22 15:16:40 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:40 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:40 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:40 2019" +#> [1] "rescoring complex variables Sun Sep 22 15:16:40 2019" +#> [1] "done rescoring complex variables Sun Sep 22 15:16:40 2019" #> x_catP x_catB z z_isBAD x_lev_NA x_lev_x_a x_lev_x_b y #> 1 0.5000000 -0.6930972 1.0 0 0 1 0 FALSE #> 2 0.5000000 -0.6930972 2.0 0 0 1 0 FALSE @@ -227,21 +227,21 @@

    Examp #> 4 0.3333333 0.0000000 4.0 0 0 0 1 FALSE #> 5 0.1666667 9.2104404 5.0 0 1 0 0 TRUE #> 6 0.3333333 0.0000000 6.0 0 0 0 1 TRUE -#> table(dTrainC; -#> x, -#> z, -#> y, -#> id) %.>% +#> mk_td("dTrainC", c( +#> "x", +#> "z", +#> "y", +#> "id")) %.>% #> natural_join(., -#> table(vtreat_tmp_47164415312856458594_0000000000; -#> x, -#> x_catP), -#> j= LEFT, by= x) %.>% +#> mk_td("vtreat_tmp_47164415312856458594_0000000000", c( +#> "x", +#> "x_catP")), +#> jointype = "LEFT", by = c('x')) %.>% #> natural_join(., -#> table(vtreat_tmp_10375051208147029216_0000000000; -#> x, -#> x_catB), -#> j= LEFT, by= x) %.>% +#> mk_td("vtreat_tmp_10375051208147029216_0000000000", c( +#> "x", +#> "x_catB")), +#> jointype = "LEFT", by = c('x')) %.>% #> extend(., #> x_lev_NA := ifelse(is.na(x), 1, 0), #> x_lev_x_a := ifelse(is.na(x), 0, ifelse(x == "a", 1, 0)), diff --git a/docs/reference/buildEvalSets.html b/docs/reference/buildEvalSets.html index 41cafc58..944d56fa 100644 --- a/docs/reference/buildEvalSets.html +++ b/docs/reference/buildEvalSets.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6

    diff --git a/docs/reference/center_scale.html b/docs/reference/center_scale.html index 81339dcf..bd015152 100644 --- a/docs/reference/center_scale.html +++ b/docs/reference/center_scale.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/designTreatmentsC.html b/docs/reference/designTreatmentsC.html index 64265486..c379c629 100644 --- a/docs/reference/designTreatmentsC.html +++ b/docs/reference/designTreatmentsC.html @@ -70,7 +70,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -277,11 +277,11 @@

    Examp y=c(FALSE,FALSE,TRUE,FALSE,TRUE,TRUE)) dTestC <- data.frame(x=c('a','b','c',NA), z=c(10,20,30,NA)) -treatmentsC <- designTreatmentsC(dTrainC,colnames(dTrainC),'y',TRUE)
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:13 2019" -#> [1] "designing treatments Wed Sep 11 08:19:13 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:13 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:13 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:13 2019"
    dTrainCTreated <- prepare(treatmentsC,dTrainC,pruneSig=0.99) +treatmentsC <- designTreatmentsC(dTrainC,colnames(dTrainC),'y',TRUE)
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:45 2019" +#> [1] "designing treatments Sun Sep 22 15:16:45 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:45 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:45 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:45 2019"
    dTrainCTreated <- prepare(treatmentsC,dTrainC,pruneSig=0.99) dTestCTreated <- prepare(treatmentsC,dTestC,pruneSig=0.99)
    @@ -271,11 +271,11 @@

    Examp z=c(1,2,3,4,5,6,7),y=c(0,0,0,1,0,1,1)) dTestN <- data.frame(x=c('a','b','c',NA), z=c(10,20,30,NA)) -treatmentsN = designTreatmentsN(dTrainN,colnames(dTrainN),'y')
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:13 2019" -#> [1] "designing treatments Wed Sep 11 08:19:13 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:13 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:13 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:13 2019"
    dTrainNTreated <- prepare(treatmentsN,dTrainN,pruneSig=0.99) +treatmentsN = designTreatmentsN(dTrainN,colnames(dTrainN),'y')
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:45 2019" +#> [1] "designing treatments Sun Sep 22 15:16:45 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:45 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:45 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:45 2019"
    dTrainNTreated <- prepare(treatmentsN,dTrainN,pruneSig=0.99) dTestNTreated <- prepare(treatmentsN,dTestN,pruneSig=0.99)
    @@ -238,11 +238,11 @@

    Examp dTestZ <- data.frame(x=c('a','x','c',NA), z=c(10,20,30,NA)) treatmentsZ = designTreatmentsZ(dTrainZ, colnames(dTrainZ), - rareCount=0)
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:14 2019" -#> [1] "designing treatments Wed Sep 11 08:19:14 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:14 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:14 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:14 2019"
    dTrainZTreated <- prepare(treatmentsZ, dTrainZ) + rareCount=0)
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:45 2019" +#> [1] "designing treatments Sun Sep 22 15:16:45 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:45 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:45 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:45 2019"
    dTrainZTreated <- prepare(treatmentsZ, dTrainZ) dTestZTreated <- prepare(treatmentsZ, dTestZ)
    diff --git a/docs/reference/flatten_fn_list.html b/docs/reference/flatten_fn_list.html index f78a491a..da873c87 100644 --- a/docs/reference/flatten_fn_list.html +++ b/docs/reference/flatten_fn_list.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/format.vtreatment.html b/docs/reference/format.vtreatment.html index 08d3807e..fc60200d 100644 --- a/docs/reference/format.vtreatment.html +++ b/docs/reference/format.vtreatment.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/getSplitPlanAppLabels.html b/docs/reference/getSplitPlanAppLabels.html index f44d6651..c66ef559 100644 --- a/docs/reference/getSplitPlanAppLabels.html +++ b/docs/reference/getSplitPlanAppLabels.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/index.html b/docs/reference/index.html index 59ca358c..e69cef70 100644 --- a/docs/reference/index.html +++ b/docs/reference/index.html @@ -64,7 +64,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/kWayCrossValidation.html b/docs/reference/kWayCrossValidation.html index aa351627..8e59f8f9 100644 --- a/docs/reference/kWayCrossValidation.html +++ b/docs/reference/kWayCrossValidation.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/kWayStratifiedY.html b/docs/reference/kWayStratifiedY.html index bd2b7f80..4490ffde 100644 --- a/docs/reference/kWayStratifiedY.html +++ b/docs/reference/kWayStratifiedY.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/kWayStratifiedYReplace.html b/docs/reference/kWayStratifiedYReplace.html index 67f687fc..f5beff75 100644 --- a/docs/reference/kWayStratifiedYReplace.html +++ b/docs/reference/kWayStratifiedYReplace.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/makekWayCrossValidationGroupedByColumn.html b/docs/reference/makekWayCrossValidationGroupedByColumn.html index ddcaa746..f1b274c8 100644 --- a/docs/reference/makekWayCrossValidationGroupedByColumn.html +++ b/docs/reference/makekWayCrossValidationGroupedByColumn.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/mkCrossFrameCExperiment.html b/docs/reference/mkCrossFrameCExperiment.html index feda44b0..919a25a9 100644 --- a/docs/reference/mkCrossFrameCExperiment.html +++ b/docs/reference/mkCrossFrameCExperiment.html @@ -70,7 +70,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -284,9 +284,9 @@

    Examp d$y <- d$y + del[d$zip2] d$yc <- d$y>=mean(d$y) cC <- mkCrossFrameCExperiment(d,c('zip','zip2'),'yc',TRUE, - rareCount=2,rareSig=0.9)
    #> [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:16 2019" -#> [1] " start cross frame work Wed Sep 11 08:19:18 2019" -#> [1] " vtreat::mkCrossFrameCExperiment done Wed Sep 11 08:19:18 2019"
    cor(as.numeric(cC$crossFrame$yc),cC$crossFrame$zip_catB) # poor
    #> [1] 0.04947521
    cor(as.numeric(cC$crossFrame$yc),cC$crossFrame$zip2_catB) # better
    #> [1] 0.5192498
    treatments <- cC$treatments + rareCount=2,rareSig=0.9)
    #> [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:16:47 2019" +#> [1] " start cross frame work Sun Sep 22 15:16:48 2019" +#> [1] " vtreat::mkCrossFrameCExperiment done Sun Sep 22 15:16:49 2019"
    cor(as.numeric(cC$crossFrame$yc),cC$crossFrame$zip_catB) # poor
    #> [1] 0.04947521
    cor(as.numeric(cC$crossFrame$yc),cC$crossFrame$zip2_catB) # better
    #> [1] 0.5192498
    treatments <- cC$treatments dTrainV <- cC$crossFrame
    diff --git a/docs/reference/mkCrossFrameNExperiment.html b/docs/reference/mkCrossFrameNExperiment.html index f7e78b8c..67e49fd9 100644 --- a/docs/reference/mkCrossFrameNExperiment.html +++ b/docs/reference/mkCrossFrameNExperiment.html @@ -70,7 +70,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -275,9 +275,9 @@

    Examp d$y <- d$y + del[d$zip2] d$yc <- d$y>=mean(d$y) cN <- mkCrossFrameNExperiment(d,c('zip','zip2'),'y', - rareCount=2,rareSig=0.9)
    #> [1] "vtreat 1.4.5 start initial treatment design Wed Sep 11 08:19:19 2019" -#> [1] " start cross frame work Wed Sep 11 08:19:20 2019" -#> [1] " vtreat::mkCrossFrameNExperiment done Wed Sep 11 08:19:20 2019"
    cor(cN$crossFrame$y,cN$crossFrame$zip_catN) # poor
    #> [1] -0.00466822
    cor(cN$crossFrame$y,cN$crossFrame$zip2_catN) # better
    #> [1] 0.3018094
    treatments <- cN$treatments + rareCount=2,rareSig=0.9)
    #> [1] "vtreat 1.4.6 start initial treatment design Sun Sep 22 15:16:49 2019" +#> [1] " start cross frame work Sun Sep 22 15:16:50 2019" +#> [1] " vtreat::mkCrossFrameNExperiment done Sun Sep 22 15:16:51 2019"
    cor(cN$crossFrame$y,cN$crossFrame$zip_catN) # poor
    #> [1] -0.00466822
    cor(cN$crossFrame$y,cN$crossFrame$zip2_catN) # better
    #> [1] 0.3018094
    treatments <- cN$treatments dTrainV <- cN$crossFrame
    diff --git a/docs/reference/oneWayHoldout.html b/docs/reference/oneWayHoldout.html index c176e697..236fdd2a 100644 --- a/docs/reference/oneWayHoldout.html +++ b/docs/reference/oneWayHoldout.html @@ -68,7 +68,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/patch_columns_into_frame.html b/docs/reference/patch_columns_into_frame.html index 21182768..0786034d 100644 --- a/docs/reference/patch_columns_into_frame.html +++ b/docs/reference/patch_columns_into_frame.html @@ -68,7 +68,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/ppCoderC.html b/docs/reference/ppCoderC.html index d422e7aa..1bb2e8c1 100644 --- a/docs/reference/ppCoderC.html +++ b/docs/reference/ppCoderC.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/ppCoderN.html b/docs/reference/ppCoderN.html index ea933226..a10395f3 100644 --- a/docs/reference/ppCoderN.html +++ b/docs/reference/ppCoderN.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/pre_comp_xval.html b/docs/reference/pre_comp_xval.html index 6649ebaa..5fd6aca2 100644 --- a/docs/reference/pre_comp_xval.html +++ b/docs/reference/pre_comp_xval.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/prepare.html b/docs/reference/prepare.html index 4685ffdc..e5ecae42 100644 --- a/docs/reference/prepare.html +++ b/docs/reference/prepare.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/prepare.multinomial_plan.html b/docs/reference/prepare.multinomial_plan.html index fb72ad8b..396b19a8 100644 --- a/docs/reference/prepare.multinomial_plan.html +++ b/docs/reference/prepare.multinomial_plan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/prepare.simple_plan.html b/docs/reference/prepare.simple_plan.html index 4ceeca34..a29bc902 100644 --- a/docs/reference/prepare.simple_plan.html +++ b/docs/reference/prepare.simple_plan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/prepare.treatmentplan.html b/docs/reference/prepare.treatmentplan.html index a1b52b2c..113d0f4b 100644 --- a/docs/reference/prepare.treatmentplan.html +++ b/docs/reference/prepare.treatmentplan.html @@ -73,7 +73,7 @@ vtreat - 1.4.5 + 1.4.6 @@ -243,11 +243,11 @@

    Examp y= c(0,0,0,1,0,1,1)) dTestN <- data.frame(x= c('a','b','c',NA), z= c(10,20,30,NA)) -treatmentsN = designTreatmentsN(dTrainN,colnames(dTrainN), 'y')
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:22 2019" -#> [1] "designing treatments Wed Sep 11 08:19:22 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:22 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:22 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:22 2019"
    dTrainNTreated <- prepare(treatmentsN, dTrainN, pruneSig= 0.2) +treatmentsN = designTreatmentsN(dTrainN,colnames(dTrainN), 'y')
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:52 2019" +#> [1] "designing treatments Sun Sep 22 15:16:52 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:52 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:52 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:52 2019"
    dTrainNTreated <- prepare(treatmentsN, dTrainN, pruneSig= 0.2) dTestNTreated <- prepare(treatmentsN, dTestN, pruneSig= 0.2) dTrainC <- data.frame(x= c('a','a','a','b','b','b'), @@ -255,22 +255,22 @@

    Examp y= c(FALSE,FALSE,TRUE,FALSE,TRUE,TRUE)) dTestC <- data.frame(x= c('a','b','c',NA), z= c(10,20,30,NA)) -treatmentsC <- designTreatmentsC(dTrainC, colnames(dTrainC),'y',TRUE)

    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:22 2019" -#> [1] "designing treatments Wed Sep 11 08:19:22 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:22 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:22 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:22 2019"
    dTrainCTreated <- prepare(treatmentsC, dTrainC) +treatmentsC <- designTreatmentsC(dTrainC, colnames(dTrainC),'y',TRUE)
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:52 2019" +#> [1] "designing treatments Sun Sep 22 15:16:52 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:52 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:52 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:52 2019"
    dTrainCTreated <- prepare(treatmentsC, dTrainC) dTestCTreated <- prepare(treatmentsC, dTestC) dTrainZ <- data.frame(x= c('a','a','a','b','b','b'), z= c(1,2,3,4,5,6)) dTestZ <- data.frame(x= c('a','b','c',NA), z= c(10,20,30,NA)) -treatmentsZ <- designTreatmentsZ(dTrainZ, colnames(dTrainZ))
    #> [1] "vtreat 1.4.5 inspecting inputs Wed Sep 11 08:19:22 2019" -#> [1] "designing treatments Wed Sep 11 08:19:22 2019" -#> [1] " have initial level statistics Wed Sep 11 08:19:22 2019" -#> [1] " scoring treatments Wed Sep 11 08:19:22 2019" -#> [1] "have treatment plan Wed Sep 11 08:19:22 2019"
    dTrainZTreated <- prepare(treatmentsZ, dTrainZ, codeRestriction= c('lev')) +treatmentsZ <- designTreatmentsZ(dTrainZ, colnames(dTrainZ))
    #> [1] "vtreat 1.4.6 inspecting inputs Sun Sep 22 15:16:52 2019" +#> [1] "designing treatments Sun Sep 22 15:16:52 2019" +#> [1] " have initial level statistics Sun Sep 22 15:16:52 2019" +#> [1] " scoring treatments Sun Sep 22 15:16:52 2019" +#> [1] "have treatment plan Sun Sep 22 15:16:52 2019"
    dTrainZTreated <- prepare(treatmentsZ, dTrainZ, codeRestriction= c('lev')) dTestZTreated <- prepare(treatmentsZ, dTestZ, codeRestriction= c('lev'))
    diff --git a/docs/reference/print.simple_plan.html b/docs/reference/print.simple_plan.html index 983ccf5b..96952c34 100644 --- a/docs/reference/print.simple_plan.html +++ b/docs/reference/print.simple_plan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/print.treatmentplan.html b/docs/reference/print.treatmentplan.html index 1ec5399d..a75a13c0 100644 --- a/docs/reference/print.treatmentplan.html +++ b/docs/reference/print.treatmentplan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/print.vtreatment.html b/docs/reference/print.vtreatment.html index 4502cb39..cccdc73e 100644 --- a/docs/reference/print.vtreatment.html +++ b/docs/reference/print.vtreatment.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/problemAppPlan.html b/docs/reference/problemAppPlan.html index b0917af9..78a6f49f 100644 --- a/docs/reference/problemAppPlan.html +++ b/docs/reference/problemAppPlan.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html index bf98683f..15e31657 100644 --- a/docs/reference/reexports.html +++ b/docs/reference/reexports.html @@ -70,7 +70,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/rqdatatable_prepare.html b/docs/reference/rqdatatable_prepare.html index 21b1a7b1..090b8c4c 100644 --- a/docs/reference/rqdatatable_prepare.html +++ b/docs/reference/rqdatatable_prepare.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/rquery_prepare.html b/docs/reference/rquery_prepare.html index 50a025b1..23f85275 100644 --- a/docs/reference/rquery_prepare.html +++ b/docs/reference/rquery_prepare.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/run_vtreat_tests.html b/docs/reference/run_vtreat_tests.html index bd9101db..d5122f0a 100644 --- a/docs/reference/run_vtreat_tests.html +++ b/docs/reference/run_vtreat_tests.html @@ -69,7 +69,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/solveIsotone.html b/docs/reference/solveIsotone.html index 4df142a9..fb1b7809 100644 --- a/docs/reference/solveIsotone.html +++ b/docs/reference/solveIsotone.html @@ -70,7 +70,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/solveNonDecreasing.html b/docs/reference/solveNonDecreasing.html index aa162132..27dafa4c 100644 --- a/docs/reference/solveNonDecreasing.html +++ b/docs/reference/solveNonDecreasing.html @@ -71,7 +71,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/solveNonIncreasing.html b/docs/reference/solveNonIncreasing.html index d600a6fd..c5cf6dd6 100644 --- a/docs/reference/solveNonIncreasing.html +++ b/docs/reference/solveNonIncreasing.html @@ -69,7 +69,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/solve_piecewise.html b/docs/reference/solve_piecewise.html index 366e7679..2c248dca 100644 --- a/docs/reference/solve_piecewise.html +++ b/docs/reference/solve_piecewise.html @@ -69,7 +69,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/solve_piecewisec.html b/docs/reference/solve_piecewisec.html index 726f01e0..06966363 100644 --- a/docs/reference/solve_piecewisec.html +++ b/docs/reference/solve_piecewisec.html @@ -69,7 +69,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/spline_variable.html b/docs/reference/spline_variable.html index 206f91b9..7215d0ff 100644 --- a/docs/reference/spline_variable.html +++ b/docs/reference/spline_variable.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/spline_variablec.html b/docs/reference/spline_variablec.html index ad4445ff..2c6b7cdf 100644 --- a/docs/reference/spline_variablec.html +++ b/docs/reference/spline_variablec.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/square_window.html b/docs/reference/square_window.html index eb2ac7f4..667fe883 100644 --- a/docs/reference/square_window.html +++ b/docs/reference/square_window.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/square_windowc.html b/docs/reference/square_windowc.html index e760d5f2..941de094 100644 --- a/docs/reference/square_windowc.html +++ b/docs/reference/square_windowc.html @@ -67,7 +67,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/track_values.html b/docs/reference/track_values.html index a25d9960..576b7c34 100644 --- a/docs/reference/track_values.html +++ b/docs/reference/track_values.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/value_variables_C.html b/docs/reference/value_variables_C.html index c25794ad..5ea1d218 100644 --- a/docs/reference/value_variables_C.html +++ b/docs/reference/value_variables_C.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/value_variables_N.html b/docs/reference/value_variables_N.html index 45d7d61f..65826dd9 100644 --- a/docs/reference/value_variables_N.html +++ b/docs/reference/value_variables_N.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/variable_values.html b/docs/reference/variable_values.html index a1331870..9374e83f 100644 --- a/docs/reference/variable_values.html +++ b/docs/reference/variable_values.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/vnames.html b/docs/reference/vnames.html index d4594818..d2b36bdb 100644 --- a/docs/reference/vnames.html +++ b/docs/reference/vnames.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/vorig.html b/docs/reference/vorig.html index 5bdeb785..5b5d3c82 100644 --- a/docs/reference/vorig.html +++ b/docs/reference/vorig.html @@ -66,7 +66,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/docs/reference/vtreat.html b/docs/reference/vtreat.html index 65facf54..d764fe55 100644 --- a/docs/reference/vtreat.html +++ b/docs/reference/vtreat.html @@ -71,7 +71,7 @@ vtreat - 1.4.5 + 1.4.6 diff --git a/extras/check_reverse_dependencies.md b/extras/check_reverse_dependencies.md index 0fa43286..b81d3aa0 100644 --- a/extras/check_reverse_dependencies.md +++ b/extras/check_reverse_dependencies.md @@ -8,13 +8,13 @@ package = "vtreat" packageVersion(package) ``` - ## [1] '1.4.5' + ## [1] '1.4.6' ``` r date() ``` - ## [1] "Wed Sep 11 07:56:47 2019" + ## [1] "Sun Sep 22 15:17:40 2019" ``` r parallelCluster <- NULL @@ -33,7 +33,7 @@ setwd(td) print(td) ``` - ## [1] "/var/folders/7q/h_jp2vj131g5799gfnpzhdp80000gn/T//Rtmp3SAawM" + ## [1] "/var/folders/7q/h_jp2vj131g5799gfnpzhdp80000gn/T//Rtmp1IX2Nl" ``` r options(repos = c(CRAN="https://cloud.r-project.org"))