Fixed evaluate_tabular

Experiments/evaluate_tabular.py

@@ -144,7 +144,7 @@ def collect_metrics(x,y, seed=0,
     noise_state = net.noise_is_on
     net.train()
     net.noise_on()
-    not_averaged_predictions = net.predict(x, number_of_draws=noneiv_number_of_draws, 
+    not_averaged_predictions = net.predict(x, number_of_draws=eiv_number_of_draws, 
             take_average_of_prediction=False)
     eiv_mean = torch.mean(not_averaged_predictions[0], dim=1)
     if len(y.shape) <= 1: