CNN {TraceAssist} | R Documentation |
Convolutional Neural Network (CNN) with two hidden layers
Description
Implement a CNN with two hidden layers and ReLU activation.
Usage
CNN(X,y,X_new,plot.figure = FALSE)
Arguments
X |
A list of matrix-valued predictors. |
y |
Binary response variable. |
X_new |
A list of new matrices in the test data. |
plot.figure |
Option for plotting trajectory of accuracy over epochs. |
Value
The returned object is a list of components.
prob
- The predicted probabilities for the test data.
class
- The estimated binary response for the test data.
history
- The trajectory of classification accuracy over epochs.
acc
- The classification accuracy on test data.
[Package TraceAssist version 0.1.0 Index]