fit_multiple_ldats_crossval: Fit multiple LDATS crossval models

In diazrenata/cvlt: Cross validation methods for LDATS

Description

Wrapper function for running fit_ldats_crossval with multiple configurations. NOT RECOMMENDED for running at scale - useful for debugging on a local machine. Use a cluster to run at scale.

Usage

fit_multiple_ldats_crossval(
  dataset,
  buffer = 2,
  ks,
  lda_seeds,
  cpts,
  nit = 100,
  cpt_seeds = NULL,
  summarize_ll = T
)

Arguments

dataset	dataset
buffer	default 2
ks	vector of integers, numbers of topics
lda_seeds	vector of integers, LDA seeds
cpts	vector of integers, cpts to try
nit	integer number of iterations
cpt_seeds	default NULL, or you can pass integers to use as the cpt seed
summarize_ll	return summarized (TRUE), or for every year?

Value

data frame of model fits for all configuations

diazrenata/cvlt documentation built on Dec. 19, 2021, 11:08 p.m.