format_eta

There are a bunch of ways users could format <code>eta</code> but the C++ Gibbs
 sampler in <code>fit_lda_c</code> only takes it one way. This function does the
 appropriate formatting. It also returns errors if the user input a malformatted
 <code>eta</code>.

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

format_eta function

<dl><dt>eta</dt>
<dd>the prior for words over topics. Can be a numeric scalar, numeric
vector, or numeric matrix.</dd>
<dt>k</dt>
<dd>the number of topics.</dd>
<dt>Nv</dt>
<dd>the total size of the vocabulary as inherited from <code>ncol(dtm)</code>
in <code>tidylda</code>.</dd></dl>

Arguments

Format eta For Input into fit_lda_c — format_eta

<dl>

<dt>eta</dt>
<dd>the prior for words over topics. Can be a numeric scalar, numeric
vector, or numeric matrix.</dd>


<dt>k</dt>
<dd>the number of topics.</dd>


<dt>Nv</dt>
<dd>the total size of the vocabulary as inherited from <code>ncol(dtm)</code>
in <code>tidylda</code>.</dd>

</dl>

format_eta: Format `eta` For Input into `fit_lda_c`

Description

Usage

Value

Arguments