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Part of the process of modeling is checking the discrimination and distribution. Making the following functionality will be useful and each will return a data frame with a plot method, tag_discrimination, tag_distribution, tag_co_occurrence with the last getting revisions to look more like the other 2. Maybe summary methods for some as well
Based on:
## Discrimination
model %>%
as_terms() %>%
plot_freq(size=3) +
xlab("Number of Tags")
## Category counts
model %>%
as_terms() %>%
plot_counts() +
xlab("Tags")
The text was updated successfully, but these errors were encountered:
Part of the process of modeling is checking the discrimination and distribution. Making the following functionality will be useful and each will return a data frame with a plot method,
tag_discrimination
,tag_distribution
,tag_co_occurrence
with the last getting revisions to look more like the other 2. Maybe summary methods for some as wellBased on:
The text was updated successfully, but these errors were encountered: