tests/testthat/_snaps/registration.md

In kbodwin/celery: What the Package Does (One Line, Title Case)

adding a new model

Code
  set_new_model_celery()
Error <rlang_error>
  Please supply a character string for a model name (e.g. `'k_means'`)

Code
  set_new_model_celery(2)
Error <rlang_error>
  Please supply a character string for a model name (e.g. `'k_means'`)

Code
  set_new_model_celery(letters[1:2])
Error <rlang_error>
  Please supply a character string for a model name (e.g. `'k_means'`)

adding a new mode

Code
  set_model_mode_celery("sponge")
Error <rlang_error>
  Please supply a character string for a mode (e.g. `'partition'`).

adding a new engine

Code
  set_model_engine_celery("sponge", eng = "gum")
Error <rlang_error>
  Please supply a character string for a mode (e.g. `'partition'`).

Code
  set_model_engine_celery("sponge", mode = "partition")
Error <rlang_error>
  Please supply a character string for an engine name (e.g. `'stats'`)

Code
  set_model_engine_celery("sponge", mode = "regression", eng = "gum")
Error <rlang_error>
  'regression' is not a known mode for model `sponge()`.

adding a new package

Code
  set_dependency_celery("sponge", "gum", letters[1:2])
Error <rlang_error>
  Please supply a single character value for the package name.

Code
  set_dependency_celery("sponge", "gummies", "trident")
Error <rlang_error>
  The engine 'gummies' has not been registered for model 'sponge'.

Code
  set_dependency_celery("sponge", "gum", "trident", mode = "regression")
Error <rlang_error>
  mode 'regression' is not a valid mode for 'sponge'

adding a new argument

Code
  set_model_arg_celery(model = "lunchroom", eng = "gum", celery = "modeling",
    original = "modelling", func = list(pkg = "foo", fun = "bar"), has_submodel = FALSE)
Error <rlang_error>
  Model `lunchroom` has not been registered.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "modeling", func = list(
    pkg = "foo", fun = "bar"), has_submodel = FALSE)
Error <rlang_error>
  Please supply a character string for the argument.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", original = "modelling",
    func = list(pkg = "foo", fun = "bar"), has_submodel = FALSE)
Error <rlang_error>
  Please supply a character string for the argument.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "modeling",
    original = "modelling", func = "foo::bar", has_submodel = FALSE)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "modeling",
    original = "modelling", func = list(pkg = "foo", fun = "bar"), has_submodel = 2)
Error <rlang_error>
  The `submodels` argument should be a single logical.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "modeling",
    original = "modelling", func = list(pkg = "foo", fun = "bar"))
Error <simpleError>
  argument "has_submodel" is missing, with no default

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "yodeling",
    original = "yodelling", func = c(foo = "a", bar = "b"), has_submodel = FALSE)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "yodeling",
    original = "yodelling", func = c(foo = "a"), has_submodel = FALSE)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

Code
  set_model_arg_celery(model = "sponge", eng = "gum", celery = "yodeling",
    original = "yodelling", func = c(fun = 2, pkg = 1), has_submodel = FALSE)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

adding a new fit

Code
  set_fit_celery(model = "cactus", eng = "gum", mode = "partition", value = fit_vals)
Error <rlang_error>
  Model `cactus` has not been registered.

Code
  set_fit_celery(model = "sponge", eng = "nose", mode = "partition", value = fit_vals)
Error <rlang_error>
  Engine 'nose' is not supported for `sponge()`. See `show_engines('sponge')`.

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "frog", value = fit_vals)
Error <rlang_error>
  'frog' is not a known mode for model `sponge()`.

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals[
    -i])
Error <rlang_error>
  The `fit` module should have elements: `defaults`, `func`, `interface`, `protect`

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals[
    -i])
Error <rlang_error>
  The `fit` module should have elements: `defaults`, `func`, `interface`, `protect`

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals[
    -i])
Error <rlang_error>
  The `fit` module should have elements: `defaults`, `func`, `interface`, `protect`

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals[
    -i])
Error <rlang_error>
  The `fit` module should have elements: `defaults`, `func`, `interface`, `protect`

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals_0)
Error <rlang_error>
  The `interface` element should have a single value of: `data.frame`, `formula`, `matrix`

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals_1)
Error <rlang_error>
  The `defaults` element should be a list:

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals_2)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

Code
  set_fit_celery(model = "sponge", eng = "gum", mode = "partition", value = fit_vals_3)
Error <rlang_error>
  The `interface` element should have a single value of: `data.frame`, `formula`, `matrix`

adding a new predict method

Code
  set_pred_celery(model = "cactus", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals)
Error <rlang_error>
  Model `cactus` has not been registered.

Code
  set_pred_celery(model = "sponge", eng = "nose", mode = "partition", type = "cluster",
    value = cluster_vals)
Error <rlang_error>
  Engine 'nose' is not supported for `sponge()`. See `show_engines('sponge')`.

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "eggs",
    value = cluster_vals)
Error <rlang_error>
  The prediction type should be one of: 'cluster'

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "frog", type = "cluster",
    value = cluster_vals)
Error <rlang_error>
  'frog' is not a known mode for model `sponge()`.

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals[-i])
Error <rlang_error>
  The `predict` module should have elements: `args`, `func`, `post`, `pre`

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals[-i])
Error <rlang_error>
  The `predict` module should have elements: `args`, `func`, `post`, `pre`

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals[-i])
Error <rlang_error>
  The `predict` module should have elements: `args`, `func`, `post`, `pre`

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals[-i])
Error <rlang_error>
  The `predict` module should have elements: `args`, `func`, `post`, `pre`

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals_0)
Error <rlang_error>
  The `pre` module should be null or a function:

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals_1)
Error <rlang_error>
  The `post` module should be null or a function:

Code
  set_pred_celery(model = "sponge", eng = "gum", mode = "partition", type = "cluster",
    value = cluster_vals_2)
Error <rlang_error>
  `func` should be a named vector with element 'fun' and the optional  elements 'pkg', 'range', 'trans', and 'values'. `func` and 'pkg' should both be single character strings.

showing model info

Code
  show_model_info_celery("k_means")
Output
  Information for `k_means`
   modes: unknown, partition

   engines: 
     partition: ClusterR, stats

   arguments: 
     stats:    
        k --> centers
     ClusterR: 
        k --> clusters

   fit modules:
       engine      mode
        stats partition
     ClusterR partition

   prediction modules:
          mode   engine methods
     partition ClusterR cluster
     partition    stats cluster

kbodwin/celery documentation built on March 26, 2022, 12:33 a.m.