score_models: Score Models Using Scores from 'ldatuning' Package

In nateaff/legolda: Color Topic Models of the Lego Dat Set

Description

Replaces FindTopicsNumber from ldatuning package. Takes topicmodels LDA output models and topic count and returns several scores of the clustering fit.

Usage

score_models(models, dtm, topics = seq(10, 40, by = 10),
  metrics = c("CaoJuan2009", "Arun2010", "Deveaud2014"), verbose = FALSE)

Arguments

dtm	An object of class "DocumentTermMatrix" with term-frequency weighting or an object coercible to a "simple_triplet_matrix" with integer entries.
topics	Vvector with number of topics to compare different models.
metrics	String or vector of possible metrics: "Griffiths2004", "CaoJuan2009", "Arun2010", "Deveaud2014".
verbose	Logical; Print status updates.
mc.cores	Integer; The number of CPU cores to processes models simultaneously.

Value

Data-frame with one or more metrics. numbers of topics and corresponding values of metric. Can be directly used by FindTopicsNumber_plot to draw a plot.

nateaff/legolda documentation built on May 18, 2019, 10:15 a.m.