Correct comments about loss weight

src/config.py

@@ -19,9 +19,12 @@ class NeuralNetworkConfig:
     # List of available optimizers: https://keras.io/optimizers/
     optimizer: str = attr.ib(default='adam')
 
-    # Weight of false positive result for training phase
-    # The bigger it is, less false positives will neural network produce
-    # Setting it to 1 makes all results neutral
+    # From docs:
+    # Value used for weighting the loss function (during training only) for
+    # malicious requests. This can be useful to tell the model to "pay more
+    # attention" to malicious samples.
+    # Setting it to 1 makes loss function behave equally for both predictions
+    # during training
     fp_weight: int = attr.ib(default=5)