msaenet.rmsle: Root Mean Squared Logarithmic Error (RMSLE)
In road2stat/msaenet: Multi-Step Adaptive Estimation Methods for Sparse Regressions
msaenet.rmsle R Documentation
Root Mean Squared Logarithmic Error (RMSLE)
Description
Compute root mean squared logarithmic error (RMSLE).
Usage
msaenet.rmsle(yreal, ypred)
Arguments
yreal
Vector. True response.
ypred
Vector. Predicted response.
Value
RMSLE
Author(s)
Nan Xiao <https://nanx.me>
road2stat/msaenet documentation built on March 4, 2024, 10:12 p.m.
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| msaenet.rmsle | R Documentation |
Root Mean Squared Logarithmic Error (RMSLE)
Description
Compute root mean squared logarithmic error (RMSLE).
Usage
msaenet.rmsle(yreal, ypred)
Arguments
yreal |
Vector. True response. |
ypred |
Vector. Predicted response. |
Value
RMSLE
Author(s)
Nan Xiao <https://nanx.me>
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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