Nothing
set_new_model("null_model")
set_model_mode("null_model", "classification")
set_model_mode("null_model", "regression")
# ------------------------------------------------------------------------------
set_model_engine("null_model", "classification", "parsnip")
set_model_engine("null_model", "regression", "parsnip")
set_dependency("null_model", "parsnip", "parsnip")
set_fit(
model = "null_model",
eng = "parsnip",
mode = "regression",
value = list(
interface = "matrix",
protect = c("x", "y"),
func = c(fun = "nullmodel", pkg = "parsnip"),
defaults = list()
)
)
set_encoding(
model = "null_model",
eng = "parsnip",
mode = "regression",
options = list(
predictor_indicators = "traditional",
compute_intercept = FALSE,
remove_intercept = FALSE,
allow_sparse_x = FALSE
)
)
set_fit(
model = "null_model",
eng = "parsnip",
mode = "classification",
value = list(
interface = "matrix",
protect = c("x", "y"),
func = c(fun = "nullmodel", pkg = "parsnip"),
defaults = list()
)
)
set_encoding(
model = "null_model",
eng = "parsnip",
mode = "classification",
options = list(
predictor_indicators = "traditional",
compute_intercept = FALSE,
remove_intercept = FALSE,
allow_sparse_x = FALSE
)
)
set_pred(
model = "null_model",
eng = "parsnip",
mode = "regression",
type = "numeric",
value = list(
pre = NULL,
post = NULL,
func = c(fun = "predict"),
args =
list(
object = quote(object$fit),
new_data = quote(new_data),
type = "numeric"
)
)
)
set_pred(
model = "null_model",
eng = "parsnip",
mode = "regression",
type = "raw",
value = list(
pre = NULL,
post = NULL,
func = c(fun = "predict"),
args =
list(
object = quote(object$fit),
new_data = quote(new_data),
type = "numeric"
)
)
)
set_pred(
model = "null_model",
eng = "parsnip",
mode = "classification",
type = "class",
value = list(
pre = NULL,
post = NULL,
func = c(fun = "predict"),
args =
list(
object = quote(object$fit),
new_data = quote(new_data),
type = "class"
)
)
)
set_pred(
model = "null_model",
eng = "parsnip",
mode = "classification",
type = "prob",
value = list(
pre = NULL,
post = function(x, object) {
as_tibble(x)
},
func = c(fun = "predict"),
args =
list(
object = quote(object$fit),
new_data = quote(new_data),
type = "prob"
)
)
)
set_pred(
model = "null_model",
eng = "parsnip",
mode = "classification",
type = "raw",
value = list(
pre = NULL,
post = NULL,
func = c(fun = "predict"),
args =
list(
object = quote(object$fit),
new_data = quote(new_data),
type = "raw"
)
)
)
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