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Given a tidied dataframe of topic-doc or word-topic distributions and a target entropy, find the mean exponent needed to adjust the temperature of each distribution to approximately match the target entropy.

Usage

target_power(tidy_df, group_col, p_col, target_entropy)

Arguments

tidy_df

The tidied distribution dataframe

p_col

Column containing the probability for each category (eg, word) conditional on the group (eg, topic)

target_entropy

Target entropy

Grouping

column, RHS of the conditional probability distribution, eg, topics for word-topic distributions

Value

Mean exponent to renormalize to the target entropy