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The intercept object is being added to the parsed model formula (I think instead of its value).
In the example below should list(list(col = "(Intercept)", val = 15.173, op = "none", is_intercept = 1)) be 15.173?
list(list(col = "(Intercept)", val = 15.173, op = "none", is_intercept = 1))
15.173
``` r library(Cubist) #> Loading required package: lattice library(tidymodels) #> Registered S3 method overwritten by 'xts': #> method from #> as.zoo.xts zoo #> ── Attaching packages ────────────────────────────────────────────────────────── tidymodels 0.0.2 ── #> ✔ broom 0.5.1 ✔ purrr 0.3.2 #> ✔ dials 0.0.2.9000 ✔ recipes 0.1.6 #> ✔ dplyr 0.8.3 ✔ rsample 0.0.5.9000 #> ✔ ggplot2 3.2.0 ✔ tibble 2.1.3 #> ✔ infer 0.4.0 ✔ yardstick 0.0.2 #> ✔ parsnip 0.0.2.9000 #> ── Conflicts ───────────────────────────────────────────────────────────── tidymodels_conflicts() ── #> ✖ purrr::discard() masks scales::discard() #> ✖ dplyr::filter() masks stats::filter() #> ✖ dplyr::lag() masks stats::lag() #> ✖ ggplot2::margin() masks dials::margin() #> ✖ recipes::step() masks stats::step() library(tidypredict) library(sessioninfo) options(width = 100) data(biomass) biomass_tr <- biomass %>% dplyr::filter(dataset == "Training") %>% dplyr::select(-dataset, -sample) biomass_te <- biomass %>% dplyr::filter(dataset == "Testing") %>% dplyr::select(-dataset, -sample) set.seed(1) mod <- cubist(x = biomass_tr %>% dplyr::select(-HHV), y = biomass_tr$HHV) tidypredict_fit(mod) #> (ifelse(oxygen >= 51.59, list(list(col = "(Intercept)", val = 15.173, #> op = "none", is_intercept = 1)), 0) + ifelse(oxygen < 42.49 & #> carbon < 60.97 & hydrogen < 6.85, 0.12089 + carbon * 0.362 + #> hydrogen * 0.31 + oxygen * -0.009 + sulfur * 0.3, 0) + ifelse(oxygen >= #> 42.49 & oxygen < 51.59, 10.20375 + carbon * 0.299 + oxygen * #> -0.123, 0) + ifelse(hydrogen >= 6.85 & carbon < 60.97, -13.1916 + #> carbon * 0.693, 0) + ifelse(carbon >= 60.97 & nitrogen >= #> 1.36, 64.2476 + carbon * 0.028 + hydrogen * 0.09 + nitrogen * #> -24.5, 0) + ifelse(carbon >= 60.97 & nitrogen < 1.36, -2.69375 + #> carbon * 0.363 + hydrogen * 1.38 + nitrogen * 0.38, 0))/1 session_info() #> ─ Session info ─────────────────────────────────────────────────────────────────────────────────── #> setting value #> version R version 3.6.0 (2019-04-26) #> os macOS High Sierra 10.13.6 #> system x86_64, darwin15.6.0 #> ui X11 #> language (EN) #> collate en_US.UTF-8 #> ctype en_US.UTF-8 #> tz America/New_York #> date 2019-07-16 #> #> ─ Packages ─────────────────────────────────────────────────────────────────────────────────────── #> package * version date lib source #> assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.0) #> backports 1.1.4 2019-04-10 [1] CRAN (R 3.6.0) #> base64enc 0.1-3 2015-07-28 [1] CRAN (R 3.6.0) #> bayesplot 1.6.0 2018-08-02 [1] CRAN (R 3.6.0) #> broom * 0.5.1 2018-12-05 [1] CRAN (R 3.6.0) #> callr 3.2.0 2019-03-15 [1] CRAN (R 3.6.0) #> class 7.3-15 2019-01-01 [1] CRAN (R 3.6.0) #> cli 1.1.0 2019-03-19 [1] CRAN (R 3.6.0) #> codetools 0.2-16 2018-12-24 [1] CRAN (R 3.6.0) #> colorspace 1.4-1 2019-03-18 [1] CRAN (R 3.6.0) #> colourpicker 1.0 2017-09-27 [1] CRAN (R 3.6.0) #> crayon 1.3.4 2017-09-16 [1] CRAN (R 3.6.0) #> crosstalk 1.0.0 2016-12-21 [1] CRAN (R 3.6.0) #> Cubist * 0.2.2 2018-05-21 [1] CRAN (R 3.6.0) #> dials * 0.0.2.9000 2019-07-08 [1] local #> DiceDesign 1.8 2018-10-29 [1] CRAN (R 3.6.0) #> digest 0.6.20 2019-07-04 [1] CRAN (R 3.6.0) #> dplyr * 0.8.3 2019-07-04 [1] CRAN (R 3.6.0) #> DT 0.5 2018-11-05 [1] CRAN (R 3.6.0) #> dygraphs 1.1.1.6 2018-07-11 [1] CRAN (R 3.6.0) #> evaluate 0.14 2019-05-28 [1] CRAN (R 3.6.0) #> furrr 0.1.0 2018-05-16 [1] CRAN (R 3.6.0) #> future 1.14.0 2019-07-02 [1] CRAN (R 3.6.0) #> generics 0.0.2 2018-11-29 [1] CRAN (R 3.6.0) #> ggplot2 * 3.2.0 2019-06-16 [1] CRAN (R 3.6.0) #> ggridges 0.5.1 2018-09-27 [1] CRAN (R 3.6.0) #> globals 0.12.4 2018-10-11 [1] CRAN (R 3.6.0) #> glue 1.3.1 2019-03-12 [1] CRAN (R 3.6.0) #> gower 0.2.0 2019-03-07 [1] CRAN (R 3.6.0) #> gridExtra 2.3 2017-09-09 [1] CRAN (R 3.6.0) #> gtable 0.3.0 2019-03-25 [1] CRAN (R 3.6.0) #> gtools 3.8.1 2018-06-26 [1] CRAN (R 3.6.0) #> highr 0.8 2019-03-20 [1] CRAN (R 3.6.0) #> htmltools 0.3.6 2017-04-28 [1] CRAN (R 3.6.0) #> htmlwidgets 1.3 2018-09-30 [1] CRAN (R 3.6.0) #> httpuv 1.5.1 2019-04-05 [1] CRAN (R 3.6.0) #> igraph 1.2.4 2019-02-13 [1] CRAN (R 3.6.0) #> infer * 0.4.0 2018-11-15 [1] CRAN (R 3.6.0) #> inline 0.3.15 2018-05-18 [1] CRAN (R 3.6.0) #> ipred 0.9-8 2018-11-05 [1] CRAN (R 3.6.0) #> janeaustenr 0.1.5 2017-06-10 [1] CRAN (R 3.6.0) #> knitr 1.23 2019-05-18 [1] CRAN (R 3.6.0) #> later 0.8.0 2019-02-11 [1] CRAN (R 3.6.0) #> lattice * 0.20-38 2018-11-04 [1] CRAN (R 3.6.0) #> lava 1.6.5 2019-02-12 [1] CRAN (R 3.6.0) #> lazyeval 0.2.2 2019-03-15 [1] CRAN (R 3.6.0) #> listenv 0.7.0 2018-01-21 [1] CRAN (R 3.6.0) #> lme4 1.1-20 2019-02-04 [1] CRAN (R 3.6.0) #> loo 2.0.0 2018-04-11 [1] CRAN (R 3.6.0) #> lubridate 1.7.4 2018-04-11 [1] CRAN (R 3.5.0) #> magrittr 1.5 2014-11-22 [1] CRAN (R 3.6.0) #> markdown 1.0 2019-06-07 [1] CRAN (R 3.6.0) #> MASS 7.3-51.4 2019-03-31 [1] CRAN (R 3.6.0) #> Matrix 1.2-17 2019-03-22 [1] CRAN (R 3.6.0) #> matrixStats 0.54.0 2018-07-23 [1] CRAN (R 3.6.0) #> mime 0.7 2019-06-11 [1] CRAN (R 3.6.0) #> miniUI 0.1.1.1 2018-05-18 [1] CRAN (R 3.6.0) #> minqa 1.2.4 2014-10-09 [1] CRAN (R 3.6.0) #> munsell 0.5.0 2018-06-12 [1] CRAN (R 3.6.0) #> nlme 3.1-139 2019-04-09 [1] CRAN (R 3.6.0) #> nloptr 1.2.1 2018-10-03 [1] CRAN (R 3.6.0) #> nnet 7.3-12 2016-02-02 [1] CRAN (R 3.6.0) #> parsnip * 0.0.2.9000 2019-07-16 [1] local #> pillar 1.4.2 2019-06-29 [1] CRAN (R 3.6.0) #> pkgbuild 1.0.3 2019-03-20 [1] CRAN (R 3.6.0) #> pkgconfig 2.0.2 2018-08-16 [1] CRAN (R 3.6.0) #> plyr 1.8.4 2016-06-08 [1] CRAN (R 3.6.0) #> prettyunits 1.0.2 2015-07-13 [1] CRAN (R 3.6.0) #> pROC 1.14.0 2019-03-12 [1] CRAN (R 3.6.0) #> processx 3.4.0 2019-07-03 [1] CRAN (R 3.6.0) #> prodlim 2018.04.18 2018-04-18 [1] CRAN (R 3.6.0) #> promises 1.0.1 2018-04-13 [1] CRAN (R 3.6.0) #> ps 1.3.0 2018-12-21 [1] CRAN (R 3.6.0) #> purrr * 0.3.2 2019-03-15 [1] CRAN (R 3.6.0) #> R6 2.4.0 2019-02-14 [1] CRAN (R 3.6.0) #> Rcpp 1.0.1 2019-03-17 [1] CRAN (R 3.6.0) #> recipes * 0.1.6 2019-07-02 [1] CRAN (R 3.6.0) #> reshape2 1.4.3 2017-12-11 [1] CRAN (R 3.6.0) #> rlang 0.4.0.9000 2019-07-09 [1] Github (r-lib/rlang@a3d7e47) #> rmarkdown 1.14 2019-07-12 [1] CRAN (R 3.6.0) #> rpart 4.1-15 2019-04-12 [1] CRAN (R 3.6.0) #> rsample * 0.0.5.9000 2019-07-12 [1] local #> rsconnect 0.8.13 2019-01-10 [1] CRAN (R 3.6.0) #> rstan 2.18.2 2018-11-07 [1] CRAN (R 3.6.0) #> rstanarm 2.18.2 2018-11-10 [1] CRAN (R 3.6.0) #> rstantools 1.5.1 2018-08-22 [1] CRAN (R 3.6.0) #> rstudioapi 0.10 2019-03-19 [1] CRAN (R 3.6.0) #> scales * 1.0.0 2018-08-09 [1] CRAN (R 3.6.0) #> sessioninfo * 1.1.1.9000 2019-03-26 [1] Github (r-lib/sessioninfo@dfb3ea8) #> shiny 1.2.0 2018-11-02 [1] CRAN (R 3.6.0) #> shinyjs 1.0 2018-01-08 [1] CRAN (R 3.6.0) #> shinystan 2.5.0 2018-05-01 [1] CRAN (R 3.6.0) #> shinythemes 1.1.2 2018-11-06 [1] CRAN (R 3.6.0) #> SnowballC 0.6.0 2019-01-15 [1] CRAN (R 3.6.0) #> StanHeaders 2.18.1 2019-01-28 [1] CRAN (R 3.6.0) #> stringi 1.4.3 2019-03-12 [1] CRAN (R 3.6.0) #> stringr 1.4.0 2019-02-10 [1] CRAN (R 3.6.0) #> survival 2.44-1.1 2019-04-01 [1] CRAN (R 3.6.0) #> threejs 0.3.1 2017-08-13 [1] CRAN (R 3.6.0) #> tibble * 2.1.3 2019-06-06 [1] CRAN (R 3.6.0) #> tidymodels * 0.0.2 2019-07-03 [1] local #> tidyposterior 0.0.2 2018-11-15 [1] CRAN (R 3.6.0) #> tidypredict * 0.4.2 2019-07-15 [1] local #> tidyr * 0.8.3 2019-03-01 [1] CRAN (R 3.6.0) #> tidyselect 0.2.5 2018-10-11 [1] CRAN (R 3.6.0) #> tidytext 0.2.0 2018-10-17 [1] CRAN (R 3.6.0) #> timeDate 3043.102 2018-02-21 [1] CRAN (R 3.6.0) #> tokenizers 0.2.1 2018-03-29 [1] CRAN (R 3.6.0) #> vctrs 0.2.0.9000 2019-07-15 [1] Github (r-lib/vctrs@a8fb108) #> withr 2.1.2 2018-03-15 [1] CRAN (R 3.6.0) #> xfun 0.8 2019-06-25 [1] CRAN (R 3.6.0) #> xtable 1.8-3 2018-08-29 [1] CRAN (R 3.6.0) #> xts 0.11-2 2018-11-05 [1] CRAN (R 3.6.0) #> yaml 2.2.0 2018-07-25 [1] CRAN (R 3.6.0) #> yardstick * 0.0.2 2018-11-05 [1] CRAN (R 3.6.0) #> zeallot 0.1.0 2018-01-28 [1] CRAN (R 3.6.0) #> zoo 1.8-6 2019-05-28 [1] CRAN (R 3.6.0) #> #> [1] /Library/Frameworks/R.framework/Versions/3.6/Resources/library
Created on 2019-07-16 by the reprex package (v0.2.1)
The text was updated successfully, but these errors were encountered:
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The intercept object is being added to the parsed model formula (I think instead of its value).
In the example below should
list(list(col = "(Intercept)", val = 15.173, op = "none", is_intercept = 1))
be15.173
?Created on 2019-07-16 by the reprex package (v0.2.1)
The text was updated successfully, but these errors were encountered: