naiveBayes_dynamicPrior: Naive Bayes dynamic prior

In tatters/soundgen: Sound Synthesis and Acoustic Analysis

Naive Bayes dynamic prior

Description

Internal soundgen function

Usage

naiveBayes_dynamicPrior(
  d,
  nObs = nrow(d),
  mod_train,
  wl,
  class_names,
  nClasses = length(class_names),
  like_names,
  prior_names,
  predictors,
  nPredictors = length(predictors)
)

Arguments

d	dataframe containing the observations
nObs	the number of observations
mod_train	the output of naiveBayes_train()
wl	window length, points
class_names	names of outcome classes
nClasses	the number of outcome classes
like_names	the names of variables holding likelihoods
prior_names	the names of prior variables
predictors	the names of predictor variables
nPredictors	the number of predicto variables

Details

A Helper function called by naiveBayes to calculate dynamic priors. Algorithm: average the likelihoods of wl preceding observations weighted by a Gaussian function, so more recent observations have more weight.

tatters/soundgen documentation built on Aug. 22, 2023, 4:24 p.m.