corr_sims: Compute correlations between two matrices of similarity...
In prodriguezsosa/weeval: Compare Word Embedding Models
Description
Usage
Arguments
Value
Note
Description
Compute correlations between two matrices of similarity vectors
Usage
1
Arguments
sims1
matrix of similarities (e.g. cosine) between a set of cues (rows) and the full vocab (columns)
sims2
matrix of similarities (e.g. cosine) between a set of cues (rows) and the full vocab (columns)
type
pearson or rank correlation
Value
a tibble with mean and standard error of correlation overt set of cues
Note
embedding models will be subsetted to common vocabulary
prodriguezsosa/weeval documentation built on Aug. 15, 2020, 7:01 a.m.
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Description Usage Arguments Value Note
Description
Compute correlations between two matrices of similarity vectors
Usage
1 |
Arguments
sims1 |
matrix of similarities (e.g. cosine) between a set of cues (rows) and the full vocab (columns) |
sims2 |
matrix of similarities (e.g. cosine) between a set of cues (rows) and the full vocab (columns) |
type |
|
Value
a tibble with mean and standard error of correlation overt set of cues
Note
embedding models will be subsetted to common vocabulary
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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