new_epi_recipe_blueprint: Recipe blueprint that accounts for 'epi_df' panel data
In cmu-delphi/epipredict: Basic epidemiology forecasting methods

View source: R/blueprint-epi_recipe-default.R

new_epi_recipe_blueprint

R Documentation

Recipe blueprint that accounts for `epi_df` panel data

Description

Used for simplicity. See hardhat::new_recipe_blueprint() or hardhat::default_recipe_blueprint() for more details.

Usage

new_epi_recipe_blueprint(
  intercept = FALSE,
  allow_novel_levels = FALSE,
  fresh = TRUE,
  composition = "tibble",
  ptypes = NULL,
  recipe = NULL,
  ...,
  subclass = character()
)

epi_recipe_blueprint(
  intercept = FALSE,
  allow_novel_levels = FALSE,
  fresh = TRUE,
  composition = "tibble"
)

default_epi_recipe_blueprint(
  intercept = FALSE,
  allow_novel_levels = FALSE,
  fresh = TRUE,
  composition = "tibble"
)

new_default_epi_recipe_blueprint(
  intercept = FALSE,
  allow_novel_levels = FALSE,
  fresh = TRUE,
  composition = "tibble",
  ptypes = NULL,
  recipe = NULL,
  extra_role_ptypes = NULL,
  ...,
  subclass = character()
)

Arguments

`intercept`	A logical. Should an intercept be included in the processed data? This information is used by the `process` function in the `mold` and `forge` function list.
`allow_novel_levels`	A logical. Should novel factor levels be allowed at prediction time? This information is used by the `clean` function in the `forge` function list, and is passed on to `scream()`.
`fresh`	Should already trained operations be re-trained when `prep()` is called?
`composition`	Either "tibble", "matrix", or "dgCMatrix" for the format of the processed predictors. If "matrix" or "dgCMatrix" are chosen, all of the predictors must be numeric after the preprocessing method has been applied; otherwise an error is thrown.
`ptypes`	Either `NULL`, or a named list with 2 elements, `predictors` and `outcomes`, both of which are 0-row tibbles. `ptypes` is generated automatically at `mold()` time and is used to validate `new_data` at prediction time.
`recipe`	Either `NULL`, or an unprepped recipe. This argument is set automatically at `mold()` time.
`...`	Name-value pairs for additional elements of blueprints that subclass this blueprint.
`subclass`	A character vector. The subclasses of this blueprint.
`extra_role_ptypes`	A named list. The names are the unique non-standard recipe roles (i.e. everything except `"predictors"` and `"outcomes"`). The values are prototypes of the original columns with that role. These are used for validation in `forge()`.