runBanterModel {banter}

Run BANTER Model

Description

Build full event classifier model

Usage

runBanterModel(x, ntree, sampsize = 1)

Arguments

x

a banter_model object.

ntree

number of trees.

sampsize

number or fraction of samples to use in each tree.

Value

a banter_model object with the complete BANTER model.

Author(s)

Eric Archer [e-mail]

References

Rankin, S., Archer, F., Keating, J. L., Oswald, J. N., Oswald, M. , Curtis, A. and Barlow, J. (2017), Acoustic classification of dolphins in the California Current using whistles, echolocation clicks, and burst pulses. Marine Mammal Science 33:520-540. doi:10.1111/mms.12381

Examples

data(train.data)
# initialize BANTER model with event data
bant.mdl <- initBanterModel(train.data$events)
# add all detector models
bant.mdl <- addBanterDetector(
  bant.mdl, train.data$detectors, 
  ntree = 50, sampsize = 1, num.cores = 1
)
# run BANTER event model
bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
summary(bant.mdl)