Create setting for CNN model with python

setCNNTorch(nbfilters = c(16, 32), epochs = c(20, 50), seed = 0,
class_weight = 0, type = "CNN")

## Arguments

nbfilters The number of filters The number of epochs A seed for the model The class weight used for imbalanced data: 0: Inverse ratio between positives and negatives -1: Focal loss It can be normal 'CNN', 'CNN_LSTM', CNN_MLF' with multiple kernels with different kernel size, 'CNN_MIX', 'ResNet' and 'CNN_MULTI'

## Examples

# NOT RUN {
model.cnnTorch <- setCNNTorch()
# }