Set logit cutoff to 5 instead of 0

inference/InferenceModel.py

@@ -24,7 +24,8 @@ class InferenceModel(object):
         self.batch_size = batch_size
 
     def predict(self, read, kmer):
-        return np.any(self._model_dict[kmer](read) > 0.0)  # todo make threshold feature?
+        model_output = self._model_dict[kmer](read)
+        return np.any(model_output > 5.0)  # todo make threshold feature?
 
         # # For fixed batch sizes
         # read, last_idx = read