dnnet-class: An S4 class containing a deep neural network
In SkadiEye/deepTL: Deep Treatment Learning
dnnet-class R Documentation
An S4 class containing a deep neural network
Description
An S4 class containing a deep neural network
Slots
normA list, containing the centers and s.d.'s of x matrix and y vector (if numeric)
weightA list of matrices, weight matrices in the fitted neural network
biasA list of vectors, bias vectors in the fitted neural network
lossThe minimum loss acheived from the validate set
loss.trajThe loss trajectory
labelIf the model is classification, a character vectors containing class labels
model.typeEither "Classification" or "Regression"
model.specOther possible information
See Also
dnnetInput-class
dnnet
SkadiEye/deepTL documentation built on Nov. 17, 2022, 1:41 p.m.
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| dnnet-class | R Documentation |
An S4 class containing a deep neural network
Description
An S4 class containing a deep neural network
Slots
normA list, containing the centers and s.d.'s of x matrix and y vector (if numeric)
weightA list of matrices, weight matrices in the fitted neural network
biasA list of vectors, bias vectors in the fitted neural network
lossThe minimum loss acheived from the validate set
loss.trajThe loss trajectory
labelIf the model is classification, a character vectors containing class labels
model.typeEither "Classification" or "Regression"
model.specOther possible information
See Also
dnnetInput-class
dnnet
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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