norm_sim: Normalize Similarity Scores
In conversim: Conversation Similarity Analysis
View source: R/conversation_sequence_utilities.R
norm_sim R Documentation
Normalize Similarity Scores
Description
Normalize similarity scores
Usage
norm_sim(similarities)
Arguments
similarities
A numeric vector of similarity scores
Details
This function normalizes similarity scores to a 0-1 range.
Value
A numeric vector of normalized similarity scores
Examples
similarities <- c(0.2, 0.5, 0.8, 1.0, 0.3)
norm_sim(similarities)
print(plot)
conversim documentation built on Sept. 20, 2024, 5:09 p.m.
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View source: R/conversation_sequence_utilities.R
| norm_sim | R Documentation |
Normalize Similarity Scores
Description
Normalize similarity scores
Usage
norm_sim(similarities)
Arguments
similarities |
A numeric vector of similarity scores |
Details
This function normalizes similarity scores to a 0-1 range.
Value
A numeric vector of normalized similarity scores
Examples
similarities <- c(0.2, 0.5, 0.8, 1.0, 0.3)
norm_sim(similarities)
print(plot)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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