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Implementation of the corrections suggested in the reusability report #8

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Implementation of the corrections suggested in the reusability report #8

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3 changes: 1 addition & 2 deletions EMOGI/emogi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -235,9 +235,8 @@ def masked_softmax_cross_entropy_weight(self, scores, labels, mask):
loss = tf.nn.softmax_cross_entropy_with_logits(logits=scores,
labels=labels)
else: # two classes, let's do sigmoid and weights
prediction = tf.nn.sigmoid(scores)
loss = tf.nn.weighted_cross_entropy_with_logits(targets=labels,
logits=prediction,
logits=scores,
pos_weight=self.pos_loss_multiplier)
# mask loss for nodes we don't know
mask = tf.cast(mask, dtype=tf.float32)
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