setRNNTorch: Create setting for RNN model with python
Description
Create setting for RNN model with python
Usage
setRNNTorch(hidden_size = c(50, 100), epochs = c(20, 50), seed = 0,
class_weight = 0, type = "RNN")
Arguments
class_weight
The class weight used for imbalanced data:
0: Inverse ratio between positives and negatives
-1: Focal loss
type
It can be normal 'RNN', 'BiRNN' (bidirectional RNN) and 'GRU'
Examples
Run this code# NOT RUN {
model.rnnTorch <- setRNNTorch()
# }
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