predict.svor_exc: Predict method for 'svor_exc' object

In mildsvm: Multiple-Instance Learning with Support Vector Machines

Predict method for svor_exc object

Description

Predict method for svor_exc object

Usage

## S3 method for class 'svor_exc'
predict(
  object,
  new_data,
  type = c("class", "raw"),
  layer = c("instance", "bag"),
  new_bags = "bag_name",
  ...
)

Arguments

object	An object of class svor_exc.
new_data	A data frame to predict from. This needs to have all of the features that the data was originally fitted with.
type	If 'class', return predicted values with threshold of 0 as -1 or +1. If 'raw', return the raw predicted scores.
layer	If 'bag', return predictions at the bag level. If 'instance', return predictions at the instance level.
new_bags	A character or character vector. Can specify a singular character that provides the column name for the bag names in new_data (default 'bag_name'). Can also specify a vector of length nrow(new_data) that has bag name for each row.
...	Arguments passed to or from other methods.

Details

When the object was fitted using the formula method, then the parameter new_bags is not necessary, as long as the names match the original function call.

Value

A tibble with nrow(new_data) rows. If type = 'class', the tibble will have a column .pred_class. If type = 'raw', the tibble will have a column .pred.

Author(s)

Sean Kent

See Also

svor_exc() for fitting the svor_exc object.

Examples

data("ordmvnorm")
x <- ordmvnorm[, 3:7]
y <- attr(ordmvnorm, "instance_label")

mdl1 <- svor_exc(x, y)
predict(mdl1, x)
predict(mdl1, x, type = "raw")

mildsvm documentation built on July 14, 2022, 9:08 a.m.