Description Usage Arguments Value See Also Examples
Find the top predictive features and values for each latent class
1 | find_predictive_features(mixdir_obj, top_n = 10)
|
mixdir_obj |
the result from a call to |
top_n |
the number of top answers per category that will be returned. Default: 10. |
A data frame with four columns: column, answer, class and probability.
The probability column contains the chance that an observation belongs to
the latent class if all that is known about that observation that
`column`=`category`
find_typical_features
find_defining_features
1 2 3 | data("mushroom")
res <- mixdir(mushroom[1:30, ], beta=1)
find_predictive_features(res, top_n=3)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.