convexBoundedLogitCom: Ensemble predict function for convex combination of...
In benkeser/onlinesl:
Description
Usage
Arguments
Value
Description
This function computes the ensemble prediction for the super learner
based on a convex combination of weights on the logit scale and transforms
predictions back to the original scale based on the value of lower
and upper.
Usage
1
convexBoundedLogitCom(p, alpha, trimLogit = 1e-05, lower, upper)
Arguments
p
An n x K matrix of predictions from K different online learners
alpha
A K row vector of weights
Value
prediction An n-length vector of super learner predictions
benkeser/onlinesl documentation built on May 12, 2019, 12:09 p.m.
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Description Usage Arguments Value
Description
This function computes the ensemble prediction for the super learner
based on a convex combination of weights on the logit scale and transforms
predictions back to the original scale based on the value of lower
and upper.
Usage
1 | convexBoundedLogitCom(p, alpha, trimLogit = 1e-05, lower, upper)
|
Arguments
p |
An n x K matrix of predictions from K different online learners |
alpha |
A K row vector of weights |
Value
prediction An n-length vector of super learner predictions
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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