gevcdn.reshape: Reshape a GEV CDN weight vector
In GEVcdn: GEV Conditional Density Estimation Network
Description
Usage
Arguments
See Also
Description
Reshapes a weight vector used during fitting of the GEV CDN model into input-hidden and hidden-output layer weight matrices.
Usage
1
gevcdn.reshape(x, weights, n.hidden)
Arguments
x
covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables.
weights
weight vector of length returned by gevcdn.initialize.
n.hidden
number of hidden nodes in the GEV CDN model.
See Also
GEVcdn documentation built on April 24, 2020, 9:05 a.m.
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Description Usage Arguments See Also
Description
Reshapes a weight vector used during fitting of the GEV CDN model into input-hidden and hidden-output layer weight matrices.
Usage
1 | gevcdn.reshape(x, weights, n.hidden)
|
Arguments
x |
covariate matrix with number of rows equal to the number of samples and number of columns equal to the number of variables. |
weights |
weight vector of length returned by |
n.hidden |
number of hidden nodes in the GEV CDN model. |
See Also
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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