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‎DESCRIPTION

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Depends:
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tidymodels
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Suggests:
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baguette,
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butcher,
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censored,
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C50,
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dials,
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dimRed,

‎tests/testthat/_snaps/parsnip-extension-messaging.md

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# message informatively with unknown implementation (tidymodels/parsnip#793)
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Code
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bag_tree() %>% set_engine("rpart") %>% set_mode("regression")
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` regression model specifications using the `rpart` engine.
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i The parsnip extension package baguette implements support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (regression)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_mode("censored regression")
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` censored regression model specifications using the `rpart` engine.
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i The parsnip extension package censored implements support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (censored regression)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree()
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` model specifications using the `rpart` engine.
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i The parsnip extension packages censored and baguette implement support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (unknown)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_engine("rpart")
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` model specifications using the `rpart` engine.
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i The parsnip extension packages censored and baguette implement support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (unknown)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_mode("censored regression") %>% set_engine("rpart")
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Output
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Bagged Decision Tree Model Specification (censored regression)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_engine("rpart")
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Output
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Bagged Decision Tree Model Specification (unknown)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_mode("regression") %>% set_engine("rpart")
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` regression model specifications using the `rpart` engine.
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i The parsnip extension package baguette implements support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (regression)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: rpart
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---
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Code
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bag_tree() %>% set_mode("classification") %>% set_engine("C5.0")
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Message <rlang_message>
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! parsnip could not locate an implementation for `bag_tree` classification model specifications using the `C5.0` engine.
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i The parsnip extension package baguette implements support for this specification.
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i Please install (if needed) and load to continue.
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Output
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Bagged Decision Tree Model Specification (classification)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: C5.0
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---
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Code
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bag_tree() %>% set_engine("C5.0")
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Output
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Bagged Decision Tree Model Specification (unknown)
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Main Arguments:
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cost_complexity = 0
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min_n = 2
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Computational engine: C5.0
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‎tests/testthat/test-parsnip-extension-messaging.R

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test_that('message informatively with unknown implementation (tidymodels/parsnip#793)', {
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skip_if(utils::packageVersion("parsnip") < "1.0.2")
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library(parsnip)
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# one possible extension --------------------------------------------------
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# known engine, mode
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expect_snapshot(
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bag_tree() %>%
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set_engine("rpart") %>%
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set_mode("regression")
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)
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# known, uniquely identifying mode
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expect_snapshot(
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bag_tree() %>%
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set_mode("censored regression")
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)
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# two possible extensions -------------------------------------------------
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# all default / unknown
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expect_snapshot(
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bag_tree()
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)
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# extension-ambiguous engine
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expect_snapshot(
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bag_tree() %>%
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set_engine("rpart")
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)
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# inter-extension interactions --------------------------------------------
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library(censored)
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# do not message -- well-specified spec
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expect_snapshot(
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bag_tree() %>%
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set_mode("censored regression") %>%
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set_engine("rpart")
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)
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# do not message - this could still possibly be a well-specified spec
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expect_snapshot(
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bag_tree() %>%
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set_engine("rpart")
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)
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# message as before, even though there is now a different possible bag_tree spec
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expect_snapshot(
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bag_tree() %>%
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set_mode("regression") %>%
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set_engine("rpart")
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)
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expect_snapshot(
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bag_tree() %>%
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set_mode("classification") %>%
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set_engine("C5.0")
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)
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# do not message now that baguette is loaded
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library(baguette)
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expect_snapshot(
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bag_tree() %>%
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set_engine("C5.0")
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)
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})

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