R/alg_multistart.R

In greed: Clustering and Model Selection with the Integrated Classification Likelihood

#' @useDynLib greed
#' @importFrom Rcpp sourceCpp
#' @importFrom future %<-%
#' @name %<-%
NULL

#' @importFrom future %seed%
#' @name %seed%
NULL

#' @include models_classes.R fit_classes.R tools_cleanpath.R
#' @import Matrix
NULL

multistart <- function(model, alg, data, K, verbose = FALSE) {
  solutions <- listenv::listenv()
  for (i in 1:alg@nb_start) {
    solutions[[i]] %<-% fit_greed(model, data, sample_cl(model, data, K), verbose = verbose) %seed% TRUE
  }
  solutions <- as.list(solutions)
  icls <- sapply(solutions, function(s) {
    s@icl
  })

  res <- solutions[[order(icls, decreasing = TRUE)[1]]]
  path <- fit_greed_path(data, res)
  path <- cleanpathopt(path)
  path@train_hist <- data.frame(icl = icls, K = sapply(solutions, function(s) {
    max(s@cl)
  }))

  path
}


multi_swap <- function(model, alg, data, K, verbose = FALSE) {
  solutions <- listenv::listenv()
  for (i in 1:alg@nb_start) {
    solutions[[i]] %<-% fit_greed(model, data, sample_cl(model, data, K)) %seed% TRUE
  }
  solutions <- as.list(solutions)
  solutions
}