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add softmax to the final output #30

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add softmax to the final output #30

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5 changes: 4 additions & 1 deletion deeprank/learn/NeuralNet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -666,6 +666,7 @@ def _epoch(self, epoch_number, pass_name, data_loader, train_model):

entry_names = []
output_values = []
output_probs = []
target_values = []

for batch_index, batch in enumerate(data_loader):
Expand Down Expand Up @@ -707,8 +708,10 @@ def _epoch(self, epoch_number, pass_name, data_loader, train_model):

output_values += outputs.tolist()
target_values += targets.tolist()

output_probs = F.softmax(torch.FloatTensor(output_values), dim=0).tolist()

self._metrics_output.process(pass_name, epoch_number, entry_names, output_values, target_values)
self._metrics_output.process(pass_name, epoch_number, entry_names, output_probs, target_values)

if count_data_entries > 0:
epoch_loss = sum_of_losses / count_data_entries
Expand Down