lda_reshaped: Run LDA adapted to use a count matrix

Description Usage Arguments Value Functions

View source: R/LDA_reshaped.R

Description

Run LDA adapted to use a count matrix

Usage

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lda_reshaped(
  N,
  K,
  max_iter = 50,
  thresh = 1e-04,
  seed = NULL,
  cores = NULL,
  alpha = NULL
)

lda_reshaped_noalpha(
  N,
  K,
  max_iter = 50,
  thresh = 1e-04,
  seed = NULL,
  cores = NULL,
  alpha = NULL
)

Arguments

N

matrix of word counts

K

the number of topics to look for

max_iter

the maximum number of EM iterations to run

thresh

threshold for L convergence, (L_i - L_i-1)/L_i < thresh

seed

set a seed for the random documents to initialise beta

cores

number of cores to run the E-step in parallel, if NULL all detected cores are used

alpha

if you want to set the exchangeable Dirichlet parameter for theta, if NULL a default value of 1/K is used

Value

A list of all parameters

A list of all parameters

Functions


g-l-mansell/MSLDA documentation built on Dec. 20, 2021, 9:43 a.m.