Added number of populated clusters as a training metric

deepof/model_utils.py

@@ -285,6 +285,11 @@ class neighbor_latent_entropy(tf.keras.callbacks.Callback):
 
             writer = tf.summary.create_file_writer(self.log_dir)
             with writer.as_default():
+                tf.summary.scalar(
+                    "number_of_populated_clusters",
+                    data=len(set(hard_groups)),
+                    step=epoch,
+                )
                 tf.summary.scalar(
                     "average_neighborhood_cluster_entropy",
                     data=np.average(purity_vector, weights=max_groups[random_idxs]),