Accuracy fix and DelayEncoder

bindsnet/encoding/encoders.py

@@ -115,3 +115,18 @@ def __init__(self, time: int, dt: float = 1.0, **kwargs):
         super().__init__(time, dt=dt, **kwargs)
 
         self.enc = encodings.rank_order
+
+
+class DelayEncoder(Encoder):
+    def __init__(self, time: int, dt: float = 1.0, **kwargs):
+        # language=rst
+        """
+        Creates a callable DelayEncoder which encodes as defined in
+        :code:`bindsnet.encoding.delay`
+
+        :param time: Length of delay spike train per input variable.
+        :param dt: Simulation time step.
+        """
+        super().__init__(time, dt=dt, **kwargs)
+
+        self.enc = encodings.delay

examples/mnist/reservoir.py

@@ -185,7 +185,7 @@ def forward(self, x):
 optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
 
 # Training the Model
-print("\n Training the read out")
+print("\n Training the read out  ")
 pbar = tqdm(enumerate(range(n_epochs)))
 for epoch, _ in pbar:
     avg_loss = 0