calceloss: calculate cross-entry for multinomial outcomes
In glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
calceloss R Documentation
calculate cross-entry for multinomial outcomes
Description
calculate cross-entry for multinomial outcomes
Usage
calceloss(xx, yy)
Arguments
xx
the sigmoid of the link, i.e, the estimated probabilities, i.e. xx = 1/(1+exp(-xb))
yy
the observed data as 0's and 1's
Value
the cross-entropy on a per observation basis
glmnetr documentation built on April 3, 2025, 6:45 p.m.
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| calceloss | R Documentation |
calculate cross-entry for multinomial outcomes
Description
calculate cross-entry for multinomial outcomes
Usage
calceloss(xx, yy)
Arguments
xx |
the sigmoid of the link, i.e, the estimated probabilities, i.e. xx = 1/(1+exp(-xb)) |
yy |
the observed data as 0's and 1's |
Value
the cross-entropy on a per observation basis
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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