CRAN Package Check Results for Package healthcareai

Last updated on 2022-12-05 09:51:20 CET.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	2.5.1	23.95	198.46	222.41	ERROR
r-devel-linux-x86_64-debian-gcc	2.5.1	19.61	143.30	162.91	ERROR
r-devel-linux-x86_64-fedora-clang	2.5.1			287.28	ERROR
r-devel-linux-x86_64-fedora-gcc	2.5.1			266.27	ERROR
r-devel-windows-x86_64	2.5.1	93.00	215.00	308.00	ERROR
r-patched-linux-x86_64	2.5.1	25.14	178.12	203.26	ERROR
r-release-linux-x86_64	2.5.1	14.94	186.44	201.38	ERROR
r-release-macos-arm64	2.5.1			81.00	OK
r-release-macos-x86_64	2.5.1			115.00	OK
r-release-windows-x86_64	2.5.1	130.00	202.00	332.00	ERROR
r-oldrel-macos-arm64	2.5.1			79.00	OK
r-oldrel-macos-x86_64	2.5.1			114.00	OK
r-oldrel-windows-ix86+x86_64	2.5.1	48.00	197.00	245.00	ERROR

Additional issues

donttest

Check Details

Version: 2.5.1
Check: examples
Result: ERROR
    Running examples in 'healthcareai-Ex.R' failed
    The error most likely occurred in:

    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### 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
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running 'testthat-1.R' [0s/0s]
     Running 'testthat-2.R' [0s/0s]
     Running 'testthat-3.R' [0s/1s]
     Running 'testthat-4.R' [0s/0s]
     Running 'testthat-5.R' [7s/10s]
    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:
     x
     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
Flavor: r-devel-linux-x86_64-debian-clang

Version: 2.5.1
Check: tests
Result: ERROR
     Running ‘testthat-1.R’ [0s/0s]
     Running ‘testthat-2.R’ [0s/1s]
     Running ‘testthat-3.R’ [0s/1s]
     Running ‘testthat-4.R’ [0s/1s]
     Running ‘testthat-5.R’ [5s/8s]
    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
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 2.5.1
Check: examples
Result: 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
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-ix86+x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running ‘testthat-1.R’
     Running ‘testthat-2.R’
     Running ‘testthat-3.R’
     Running ‘testthat-4.R’
     Running ‘testthat-5.R’ [9s/13s]
    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
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 2.5.1
Check: tests
Result: ERROR
     Running ‘testthat-1.R’
     Running ‘testthat-2.R’
     Running ‘testthat-3.R’
     Running ‘testthat-4.R’
     Running ‘testthat-5.R’ [9s/11s]
    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
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 2.5.1
Check: tests
Result: ERROR
     Running 'testthat-1.R' [0s]
     Running 'testthat-2.R' [0s]
     Running 'testthat-3.R' [0s]
     Running 'testthat-4.R' [0s]
     Running 'testthat-5.R' [8s]
    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
Flavor: r-devel-windows-x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running ‘testthat-1.R’ [0s/0s]
     Running ‘testthat-2.R’ [0s/1s]
     Running ‘testthat-3.R’ [0s/1s]
     Running ‘testthat-4.R’ [0s/0s]
     Running ‘testthat-5.R’ [7s/9s]
    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
Flavor: r-patched-linux-x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running ‘testthat-1.R’ [0s/0s]
     Running ‘testthat-2.R’ [0s/1s]
     Running ‘testthat-3.R’ [0s/1s]
     Running ‘testthat-4.R’ [0s/1s]
     Running ‘testthat-5.R’ [7s/9s]
    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
Flavor: r-release-linux-x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running 'testthat-1.R' [0s]
     Running 'testthat-2.R' [0s]
     Running 'testthat-3.R' [0s]
     Running 'testthat-4.R' [0s]
     Running 'testthat-5.R' [7s]
    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
Flavor: r-release-windows-x86_64

Version: 2.5.1
Check: tests
Result: ERROR
     Running 'testthat-1.R' [0s]
     Running 'testthat-2.R' [0s]
     Running 'testthat-3.R' [0s]
     Running 'testthat-4.R' [0s]
     Running 'testthat-5.R' [7s]
    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:
     x
     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
Flavor: r-oldrel-windows-ix86+x86_64