--- a
+++ b/aggmap/aggmodel/loss.py
@@ -0,0 +1,23 @@
+import tensorflow as tf
+from sklearn.metrics import roc_auc_score
+import numpy as np
+
+
+###########  classification ##############
+def cross_entropy(y_true, y_pred):
+    cost = tf.nn.sigmoid_cross_entropy_with_logits(labels=labels, logits=logits)
+    return cost
+
+
+def weighted_cross_entropy(y_true, y_pred, pos_weight):
+  
+    cost = tf.nn.weighted_cross_entropy_with_logits(labels=labels, logits=logits, 
+                                                    pos_weight = pos_weight)
+    return cost
+
+
+
+
+
+def MALE(y_obs, y_pred):
+    return tf.keras.backend.log(0.5 + tf.keras.backend.abs(y_pred - y_obs))
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