MLBandwidth: Optimal Parzen bandwidth that maximizes log-likelihood on...
In rudazhang/plmr: Probabilistic Learning on Manifolds in R
Description
Usage
Arguments
Value
Description
Optimal Parzen bandwidth that maximizes log-likelihood on test set.
Usage
1
MLBandwidth(XTrain, XTest, hlim)
Arguments
XTrain
Training data.table.
XTest
Test data.table.
hlim
Range of bandwidth searching.
Value
Data.table: minimum, optimal bandwidth; objective, average negative log-likelihood (ANLL).
rudazhang/plmr documentation built on Aug. 30, 2021, 5:43 p.m.
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Description Usage Arguments Value
Description
Optimal Parzen bandwidth that maximizes log-likelihood on test set.
Usage
1 | MLBandwidth(XTrain, XTest, hlim)
|
Arguments
XTrain |
Training data.table. |
XTest |
Test data.table. |
hlim |
Range of bandwidth searching. |
Value
Data.table: minimum, optimal bandwidth; objective, average negative log-likelihood (ANLL).
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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