tests/testthat/_snaps/forge-formula.md

In tidymodels/hardhat: Construct Modeling Packages

asking for the outcome when it isn't there fails

Code
  forge(example_train2, x1$blueprint, outcomes = TRUE)
Condition
  Error in `forge()`:
  ! The required column "fac_1" is missing.

Code
  forge(example_train2, x2$blueprint, outcomes = TRUE)
Condition
  Error in `forge()`:
  ! The required column "fac_1" is missing.

new_data can only be a data frame / matrix

Code
  forge("hi", x1$blueprint)
Condition
  Error in `forge()`:
  ! No `forge()` method provided for a string.

Code
  forge("hi", x2$blueprint)
Condition
  Error in `forge()`:
  ! No `forge()` method provided for a string.

missing predictor columns fail appropriately

Code
  forge(example_train[, 1, drop = FALSE], x1$blueprint)
Condition
  Error in `forge()`:
  ! The required column "num_2" is missing.

Code
  forge(example_train[, 1, drop = FALSE], x2$blueprint)
Condition
  Error in `forge()`:
  ! The required column "num_2" is missing.

Code
  forge(example_train[, 3, drop = FALSE], x1$blueprint)
Condition
  Error in `forge()`:
  ! The required columns "num_1" and "num_2" are missing.

Code
  forge(example_train[, 3, drop = FALSE], x2$blueprint)
Condition
  Error in `forge()`:
  ! The required columns "num_1" and "num_2" are missing.

novel predictor levels are caught

Code
  xx1 <- forge(new, x1$blueprint)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

Code
  xx2 <- forge(new, x2$blueprint)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

Code
  xx3 <- forge(new_multiple, x3$blueprint)
Condition
  Warning:
  Novel levels found in column "f": "e" and "f".
  i The levels have been removed, and values have been coerced to <NA>.

novel predictor levels can be ignored

Code
  xx1 <- forge(new, x1$blueprint)

Code
  xx2 <- forge(new, x2$blueprint)

novel levels are handled correctly when the new column is a character

Code
  xx1 <- forge(new, x1$blueprint)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

Code
  xx2 <- forge(new, x2$blueprint)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

novel levels are ignored correctly when the new column is a character

Code
  xx1 <- forge(new, x1$blueprint)

Code
  xx2 <- forge(new, x2$blueprint)

novel outcome levels are caught

Code
  xx1 <- forge(new, x1$blueprint, outcomes = TRUE)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

Code
  xx2 <- forge(new, x2$blueprint, outcomes = TRUE)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

novel outcome levels are always caught, even if allow_novel_levels = TRUE

Code
  xx1 <- forge(new, x1$blueprint, outcomes = TRUE)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

Code
  xx2 <- forge(new, x2$blueprint, outcomes = TRUE)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

missing predictor levels are restored silently

Code
  xx1 <- forge(new, x1$blueprint)

Code
  xx2 <- forge(new, x2$blueprint)

Code
  yy1 <- forge(new2, x1$blueprint)

Code
  yy2 <- forge(new2, x2$blueprint)

can be both missing levels and have new levels

Code
  mold(y ~ f, dat, blueprint = bp2)
Condition
  Error in `mold()`:
  ! `data` must only contain numeric columns.
  i This column isn't numeric: "f".

Code
  mold(y ~ f + f_2, dat_2f, blueprint = bp2)
Condition
  Error in `mold()`:
  ! `data` must only contain numeric columns.
  i These columns aren't numeric: "f" and "f_2".

Code
  xx <- forge(new, x1$blueprint)
Condition
  Warning:
  Novel level found in column "f": "e".
  i The level has been removed, and values have been coerced to <NA>.

can be both missing levels and have new levels that get ignored

Code
  xx <- forge(new, x$blueprint)

NA factor data never triggers a novel level warning (#131)

Code
  xx <- forge(new, x$blueprint)

allow_novel_levels works right with character predictors

Code
  out <- forge(df2, x$blueprint)
Condition
  Warning:
  Novel level found in column "x": "d".
  i The level has been removed, and values have been coerced to <NA>.

tidymodels/hardhat documentation built on Feb. 3, 2025, 12:35 a.m.