calc_lda_r2

Formats inputs and hands off to calc_rsquared

internal

Implements an algorithm for Latent Dirichlet
Allocation (LDA), Blei et at. (2003) <https://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf>,
using style conventions from the 'tidyverse',
Wickham et al. (2019)<doi:10.21105/joss.01686>,
and 'tidymodels', Kuhn et al.<https://tidymodels.github.io/model-implementation-principles/>.
Fitting is done via collapsed Gibbs sampling.
Also implements several novel features for LDA such as guided models and
transfer learning.

Thomas W Jones

tidylda

Latent Dirichlet Allocation Using 'tidyverse' Conventions

Tommy Jones

Brendan Knapp

Barum Park

calc_lda_r2 function

<dl><dt>dtm</dt>
<dd>must be of class dgCMatrix</dd>
<dt>theta</dt>
<dd>a theta matrix</dd>
<dt>beta</dt>
<dd>a beta matrix</dd>
<dt>threads</dt>
<dd>number of parallel threads</dd></dl>

Arguments

Calculate R-squared for a tidylda Model — calc_lda_r2

<dl>

<dt>dtm</dt>
<dd>must be of class dgCMatrix</dd>


<dt>theta</dt>
<dd>a theta matrix</dd>


<dt>beta</dt>
<dd>a beta matrix</dd>


<dt>threads</dt>
<dd>number of parallel threads</dd>

</dl>

calc_lda_r2: Calculate R-squared for a tidylda Model

Description

Usage

Value

Arguments