tests/testthat/_snaps/geodist.md

In tidymodels/recipes: Preprocessing and Feature Engineering Steps for Modeling

lat lon

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 100, ref_lon = 100, is_lat_lon = TRUE) %>% prep()
Condition
  Error in `step_geodist()`:
  ! `ref_lat` must be a number between -90 and 90, not the number 100.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 0, ref_lon = 190, is_lat_lon = TRUE) %>% prep()
Condition
  Error in `step_geodist()`:
  ! `ref_lon` must be a number between -180 and 180, not the number 190.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = -100, ref_lon = 0, is_lat_lon = TRUE) %>% prep()
Condition
  Error in `step_geodist()`:
  ! `ref_lat` must be a number between -90 and 90, not the number -100.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 0, ref_lon = -190, is_lat_lon = TRUE) %>% prep()
Condition
  Error in `step_geodist()`:
  ! `ref_lon` must be a number between -180 and 180, not the number -190.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>%
    prep()
Condition
  Error in `step_geodist()`:
  Caused by error in `bake()`:
  ! All `lat` values should be between -90 and 90.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>%
    prep()
Condition
  Error in `step_geodist()`:
  Caused by error in `bake()`:
  ! All `lon` values should be between -180 and 180.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>%
    prep()
Condition
  Error in `step_geodist()`:
  Caused by error in `bake()`:
  ! All `lat` values should be between -90 and 90.

Code
  near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude,
    log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>%
    prep()
Condition
  Error in `step_geodist()`:
  Caused by error in `bake()`:
  ! All `lon` values should be between -180 and 180.

check_name() is used

Code
  prep(rec, training = dat)
Condition
  Error in `step_geodist()`:
  Caused by error in `bake()`:
  ! Name collision occurred. The following variable names already exist:
  * `geo_dist`

bad args

Code
  rec %>% step_geodist(starts_with("x"), y, ref_lat = 0.5, ref_lon = 0.25) %>%
    prep(training = rand_data_2)
Condition
  Error in `step_geodist()`:
  Caused by error in `prep()`:
  x The `lat` selector should select at most a single variable.
  i The following 2 were selected: `x` and `x1`.

Code
  rec %>% step_geodist(x, starts_with("y"), ref_lat = 0.5, ref_lon = 0.25) %>%
    prep(training = rand_data_2)
Condition
  Error in `step_geodist()`:
  Caused by error in `prep()`:
  x The `lon` selector should select at most a single variable.
  i The following 2 were selected: `y` and `y1`.

Code
  rec %>% step_geodist(x, y, ref_lat = letters[1:2], ref_lon = 0.25) %>% prep(
    training = rand_data_2)
Condition
  Error in `step_geodist()`:
  ! `ref_lat` must be a number, not a character vector.

Code
  rec %>% step_geodist(x, y, ref_lon = letters[1:2], ref_lat = 0.25) %>% prep(
    training = rand_data_2)
Condition
  Error in `step_geodist()`:
  ! `ref_lon` must be a number, not a character vector.

Code
  rec %>% step_geodist(x, y, ref_lon = 0.5, ref_lat = 0.25, name = 1) %>% prep(
    training = rand_data_2)
Condition
  Error in `step_geodist()`:
  ! `name` must be a single string, not the number 1.

Code
  rec %>% step_geodist(x, y, ref_lon = 0.5, ref_lat = 0.25, log = exp(1)) %>%
    prep(training = rand_data_2)
Condition
  Error in `step_geodist()`:
  ! `log` must be `TRUE` or `FALSE`, not the number 2.72.

Code
  recipe(~ x + y, data = rand_data) %>% step_geodist(x, y, ref_lat = 0.5,
    ref_lon = 0.25, is_lat_lon = "no", log = FALSE) %>% prep(training = rand_data)
Condition
  Error in `step_geodist()`:
  ! `is_lat_lon` must be `TRUE` or `FALSE`, not the string "no".

Code
  recipe(~ x + y, data = rand_data) %>% step_geodist(x, y, ref_lat = 0.5,
    ref_lon = 0.25, is_lat_lon = c(TRUE, TRUE), log = FALSE) %>% prep(training = rand_data)
Condition
  Error in `step_geodist()`:
  ! `is_lat_lon` must be `TRUE` or `FALSE`, not a logical vector.

bake method errors when needed non-standard role columns are missing

Code
  bake(rec_trained, new_data = rand_data[, 2, drop = FALSE])
Condition
  Error in `step_geodist()`:
  ! The following required column is missing from `new_data`: x.

empty printing

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Operations 
  * Geographical distances from 0.5 x 0.25 using: NULL and NULL

Code
  rec
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  outcome:    1
  predictor: 10

  -- Training information 
  Training data contained 32 data points and no incomplete rows.

  -- Operations 
  * Geographical distances from 0.5 x 0.25 using: <none> | Trained

keep_original_cols - can prep recipes with it missing

Code
  rec <- prep(rec)
Condition
  Warning:
  `keep_original_cols` was added to `step_geodist()` after this recipe was created.
  i Regenerate your recipe to avoid this warning.

printing

Code
  print(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 2

  -- Operations 
  * Geographical distances from 0.5 x 0.25 using: x and y

Code
  prep(rec)
Message

  -- Recipe ----------------------------------------------------------------------

  -- Inputs 
  Number of variables by role
  predictor: 2

  -- Training information 
  Training data contained 10 data points and 1 incomplete row.

  -- Operations 
  * Geographical distances from 0.5 x 0.25 using: x and y | Trained

tidymodels/recipes documentation built on Jan. 25, 2025, 7:30 a.m.