afe: Compute average feature entropy (AFE)
In newsmap: Semi-Supervised Model for Geographical Document Classification
afe R Documentation
Compute average feature entropy (AFE)
Description
AFE computes randomness of occurrences features in labelled documents.
Usage
afe(x, y, smooth = 1)
Arguments
x
a dfm for features
y
a dfm for labels
smooth
a numeric value for smoothing to include all the features
newsmap documentation built on Oct. 7, 2023, 5:07 p.m.
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.
| afe | R Documentation |
Compute average feature entropy (AFE)
Description
AFE computes randomness of occurrences features in labelled documents.
Usage
afe(x, y, smooth = 1)
Arguments
x |
a dfm for features |
y |
a dfm for labels |
smooth |
a numeric value for smoothing to include all the features |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.