RNN_Keras_Linear: RNN_Keras_Linear
In EduardoRamosP/MackNet: Mack-Net model: Blending Mack's model with Recurrent Neural Networks
Description
Usage
Arguments
Value
View source: R/RNN_Keras_Linear.R
Description
It creates the keras object to fit each individual RNN.
Usage
1
RNN_Keras_Linear(Shape1, Shape2, Learning, wd, drop)
Arguments
Shape1
Length of the input matrix containing the explanatory variables
Shape2
Number of previous observation of the input matrix containing the explanatory variables
Learning
Learning rate of the RNN.
wd
Weighted decay used within the ADAM optimization algorithm.
drop
Level of dropout regularization.
Value
Keras object containing the structure and optimization algorithm of the RNN.
EduardoRamosP/MackNet documentation built on Sept. 26, 2020, 9:21 a.m.
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Description Usage Arguments Value
View source: R/RNN_Keras_Linear.R
Description
It creates the keras object to fit each individual RNN.
Usage
1 | RNN_Keras_Linear(Shape1, Shape2, Learning, wd, drop)
|
Arguments
Shape1 |
Length of the input matrix containing the explanatory variables |
Shape2 |
Number of previous observation of the input matrix containing the explanatory variables |
Learning |
Learning rate of the RNN. |
wd |
Weighted decay used within the ADAM optimization algorithm. |
drop |
Level of dropout regularization. |
Value
Keras object containing the structure and optimization algorithm of the RNN.
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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