Update change log (#667)

* Update change_log_v1.0.0-beta.md

* Update change_log_v1.0.0-beta.md

* Update change_log_v1.0.0-beta.md

* Update change_log_v1.0.0-beta.md

change_logs/change_log_v1.0.0-beta.md

@@ -26,6 +26,9 @@ This release contains some major changes, including:
     - VerticaPy now supports the KPrototypes algorithm.
     - New function for finding the feature importance for XGBoost models.
     - Classification metrics are now available for multiclass data/model using three methods: micro, macro, and weighted.
+      - average_precision_score is another new metric that is added to classification metrics.
+      - roc_auc and prc_auc now work for multi-class classification using different averaging techniques stated above. 
+    - Model names are now optional
 
 
 - `vDataFramesSQL` is deprecated. Now, `vDataFrame` can be used directly to create `vDataFrame`s from SQL. For example: