* using log directory ‘/data/blackswan/ripley/R/packages/tests-devel/healthcareai.Rcheck’
* using R Under development (unstable) (2022-11-24 r83383)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* checking for file ‘healthcareai/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘healthcareai’ version ‘2.5.1’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘healthcareai’ can be installed ... [28s/29s] OK
* checking package directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [43s/45s] OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd line widths ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking examples ... [11s/11s] ERROR
Running examples in ‘healthcareai-Ex.R’ failed
The error most likely occurred in:

> ### Name: evaluate
> ### Title: Get model performance metrics
> ### Aliases: evaluate evaluate.predicted_df evaluate.model_list
> 
> ### ** Examples
> 
> models <- machine_learn(pima_diabetes[1:40, ],
+                        patient_id,
+                        outcome = diabetes,
+                        models = c("XGB", "RF"),
+                        tune = FALSE,
+                        n_folds = 3)
Training new data prep recipe...

Variable(s) ignored in prep_data won't be used to tune models: patient_id
Error in setup_training(d, rlang::enquo(outcome), model_class, models,  : 
  All predictors must be numeric, but the following variables are not numeric. Consider using prep_data to get data ready for model training: weight_class
Calls: machine_learn -> flash_models -> setup_training
Execution halted
* checking examples with --run-donttest ... [11s/12s] ERROR
Running examples in ‘healthcareai-Ex.R’ failed
The error most likely occurred in:

> ### Name: evaluate
> ### Title: Get model performance metrics
> ### Aliases: evaluate evaluate.predicted_df evaluate.model_list
> 
> ### ** Examples
> 
> models <- machine_learn(pima_diabetes[1:40, ],
+                        patient_id,
+                        outcome = diabetes,
+                        models = c("XGB", "RF"),
+                        tune = FALSE,
+                        n_folds = 3)
Training new data prep recipe...

Variable(s) ignored in prep_data won't be used to tune models: patient_id
Error in setup_training(d, rlang::enquo(outcome), model_class, models,  : 
  All predictors must be numeric, but the following variables are not numeric. Consider using prep_data to get data ready for model training: weight_class
Calls: machine_learn -> flash_models -> setup_training
Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat-1.R’
  Running ‘testthat-2.R’
  Running ‘testthat-3.R’
  Running ‘testthat-4.R’
  Running ‘testthat-5.R’
 [10s/10s] ERROR
Running the tests in ‘tests/testthat-5.R’ failed.
Complete output:
  > if (!identical(Sys.getenv("NOT_CRAN"), "true")) {
  +   library(testthat)
  +   library(healthcareai)
  +   Sys.setenv("R_TESTS" = "")
  +   test_check("healthcareai", filter = "cran_only")
  + }
  healthcareai version 2.5.1
  Please visit https://docs.healthcare.ai for full documentation and vignettes. Join the community at https://healthcare-ai.slack.com
  [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-cran_only.R:4'): the fundamentals work ─────────────────────────
  Error in `setup_training(d, rlang::enquo(outcome), model_class, models, 
      metric, positive_class, n_folds)`: All predictors must be numeric, but the following variables are not numeric. Consider using prep_data to get data ready for model training: weight_class
  Backtrace:
      ▆
   1. └─healthcareai::machine_learn(...) at test-cran_only.R:4:2
   2.   └─healthcareai::flash_models(...)
   3.     └─healthcareai:::setup_training(...)
  
  [ FAIL 1 | WARN 0 | SKIP 0 | PASS 0 ]
  Error: Test failures
  Execution halted
* checking PDF version of manual ... [11s/14s] OK
* checking for non-standard things in the check directory ... OK
* checking for detritus in the temp directory ... OK
* checking for new files in some other directories ... OK
* DONE

Status: 3 ERRORs
See
  ‘/data/blackswan/ripley/R/packages/tests-devel/healthcareai.Rcheck/00check.log’
for details.

Command exited with non-zero status 1
Time 4:11.14, 216.94 + 17.97