getBanterModel: Extract Random Forest Model

View source: R/getBanterModel.R

getBanterModelR Documentation

Extract Random Forest Model

Description

Extract BANTER event or detector Random Forest model.

Usage

getBanterModel(x, model = "event")

Arguments

x

a banter_model object.

model

name of model to extract. Default is "event" to extract the event-level model. Can also be the name of a detector.

Value

a randomForest model object.

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)

# extract the event randomForest model
event.rf <- getBanterModel(bant.mdl)
event.rf

# extract the burst pulse (bp) detector model
bp.rf <- getBanterModel(bant.mdl, "bp")
bp.rf


banter documentation built on March 18, 2022, 7:03 p.m.