mac_es: Calculation of MAC Effect Size
In sweater: Speedy Word Embedding Association Test and Extras Using R
mac_es R Documentation
Calculation of MAC Effect Size
Description
This function calculates the mean of cosine distance values. If possible, please use calculate_es() instead.
Usage
mac_es(x)
Arguments
x
an object from the function mac
Value
Mean of all cosine similarity values
Author(s)
Chung-hong Chan
References
Manzini, T., Lim, Y. C., Tsvetkov, Y., & Black, A. W. (2019). Black is to criminal as caucasian is to police: Detecting and removing multiclass bias in word embeddings. arXiv preprint arXiv:1904.04047.
sweater documentation built on Nov. 7, 2023, 5:08 p.m.
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| mac_es | R Documentation |
Calculation of MAC Effect Size
Description
This function calculates the mean of cosine distance values. If possible, please use calculate_es() instead.
Usage
mac_es(x)
Arguments
x |
an object from the function mac |
Value
Mean of all cosine similarity values
Author(s)
Chung-hong Chan
References
Manzini, T., Lim, Y. C., Tsvetkov, Y., & Black, A. W. (2019). Black is to criminal as caucasian is to police: Detecting and removing multiclass bias in word embeddings. arXiv preprint arXiv:1904.04047.
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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