The LDATopicPrinter function outputs a message and an output table.
Column Name | Data Type | Description |
---|---|---|
message | TEXT, VARCHAR, or VARCHAR(n) | Reports this information about the model: Number of topics Number of unique words (vocabulary size) Hyperparameter values (specified by LDATrainer arguments Alpha and Eta) Number of training documents and words Perplexity (defined in the Output section of the function LDATrainer) |
The schema of the output table depends on the values of the arguments ShowSummary and OutputByWord. If ShowSummary is true, the function outputs only the preceding table.
Column Name | Data Type | Description |
---|---|---|
topicid | INTEGER | Topic identifier. |
word | TEXT, VARCHAR, or VARCHAR(n) | Unique word that appears in topic. |
wordweight | DOUBLE PRECISION | Optional. Weight (probability of occurrence) of word in topic. Weights for unique words in each topic are normalized to 1. |
wordcount | DOUBLE PRECISION | Optional. Count (number of occurrences) of word in topic. Topic distribution is factored into word count. |
Column Name | Data Type | Description |
---|---|---|
topicid | INTEGER | Unique topic identifier. |
wordsequence | TEXT, VARCHAR, or VARCHAR(n) | Unique words that appear in topic, separated by commas. |