Update utils.py

utils.py

@@ -0,0 +1,25 @@
+import torch
+import config
+
+
+def categorical_accuracy(preds, y):
+    """
+    Returns accuracy per batch, i.e. if you get 8/10 right, this returns 0.8, NOT 8
+    """
+    max_preds = preds.argmax(
+        dim=1, keepdim=True)  # get the index of the max probability
+    correct = max_preds.squeeze(1).eq(y)
+    return correct.sum() / torch.FloatTensor([y.shape[0]])
+
+def label_encoder(x):
+    label_vec = {"0": 0, "1": 1, "-1": 2}
+    return label_vec[x.replace("__label__", "")]
+
+def label_decoder(x):
+    label_vec = { 0:"U",  1:"P",  2:"N"}
+    return label_vec[x]
+
+def label_full_decoder(x):
+    label_vec = { 0:"Neutral",  1:"Positive",  2:"Negative"}
+    return label_vec[x]
+