Description Usage Details Slots Examples
A predx
class for binned probabilistic predictions with categorical bins specified by strings.
1 2 3 4 5 6 7 8 9 10 11 12 | BinCat(x)
is.BinCat(x)
## S4 method for signature 'BinCat'
predx_to_json(x)
## S4 method for signature 'BinCat'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
## S4 method for signature 'BinCat'
transform_predx(x, to_class, ...)
|
BinCat
is flexible as it can be used for any binned predictions. Individual probabilities (prob
) must be greater than or equal to 0 and less than or equal to 1 and the vector of probabilities must sum to 1.
In JSON and CSV representations, the bins are named cat
and the probabilities are named prob
.
predx
A data.frame with two columns: cat
(character) and prob
(numeric).
1 2 3 4 5 6 7 8 9 10 11 | x <- BinCat(data.frame(
cat = c('a', 'b', 'c'),
prob = c(0, 0.3, 0.7)
))
x
# create predx dataframe
x_df <- as.predx_df(list(
location = c('Mercury', 'Venus', 'Earth'),
target = 'habitability',
predx = list(x, x)
))
|
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