align_graph: Alignment between Pairs of Topics
| align_graph | R Documentation |
Alignment between Pairs of Topics
Description
This provides a more generic interface to alignment between arbitrary pairs of topics, compared to 'align_topics'. Rather than requiring sequential or all-vs-all comparisons, this function supports comparisons between any pairs of models, as specified by the 'edges' parameter. Any graph linking pairs of models can be the starting point for an alignment.
Usage
align_graph(edges, gamma_hats, beta_hats, weight_fun, ...)
Arguments
edges |
A data frame with two columns, $from and $to, giving the names of the models to be aligned. These names must be the names of the lists in 'gamma_hats' and 'beta_hats'. |
gamma_hats |
A named list of matrices, giving estimated mixed-membership parameters across a collection of topic models. The names of this list must correspond to the names of models to compare in 'edges'. |
beta_hats |
A named list of matrices, giving estimated topic parameters across a collection of topic models. The names of this list must correspond to the names of models to compare in 'edges'. |
weight_fun |
A function that returns a data.frame giving weights between all pairs of topics between two models. The first argument must accept a list of two gamma_hat matrices, the second argument must accept a list of two beta_hat matrices. See 'product_weights' or 'transport_weights' for examples. |
... |
(optional) Further keyword arguments passed to the weight
function. For example, passing |
