runBanterModel: Run BANTER Model
In banter: BioAcoustic eveNT classifiER

runBanterModel

R Documentation

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 eric.archer@noaa.gov

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)

banter documentation built on Feb. 16, 2023, 10:18 p.m.