GateLogit: Computes the logit regression weights in log.
In UofTActuarial/LRMoE: Logit-Weighted Reduced Mixture-of-Experts
Description
Usage
Arguments
Value
Description
Computes the logit regression weights in log.
Usage
1
GateLogit(x, alpha)
Arguments
x
An N * P covariate matrix, where N is sample size. The first column MUST be 1.
alpha
A g * P matrix. Logit regression coefficients.
Value
The log of tcrossprod(x,alpha) with dim N * g, with each row normalized by rowLogSumExps
UofTActuarial/LRMoE documentation built on Feb. 18, 2022, 1:36 a.m.
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Description Usage Arguments Value
Description
Computes the logit regression weights in log.
Usage
1 | GateLogit(x, alpha)
|
Arguments
x |
An N * P covariate matrix, where N is sample size. The first column MUST be 1. |
alpha |
A g * P matrix. Logit regression coefficients. |
Value
The log of tcrossprod(x,alpha) with dim N * g, with each row normalized by rowLogSumExps
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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