updating docs

Author: ahosler

docs/source/user_guide/operators/anomaly_detection_operator/index.rst

@@ -11,10 +11,11 @@ Overview
 **Input Data**
 
 The Anomaly Detection Operator accepts a dataset with:
-# A datetime column 
-# A target column
-# (Optionally) 1 or more seires columns (such that the target is indexed by datetime and series)
-# (Optionall) An arbitrary number of additional variables
+
+* A datetime column 
+* A target column
+* (Optionally) 1 or more seires columns (such that the target is indexed by datetime and series)
+* (Optionall) An arbitrary number of additional variables
 
 Besides this input data, the user can also specify validation data, if available. Validation data should have all the columns of the input data plus a binary column titled "anomaly". The "anomaly" column should be -1 for anomalies and 1 for normal rows.
 

docs/source/user_guide/operators/anomaly_detection_operator/use_cases.rst

@@ -22,8 +22,7 @@ As a low-code extensible framework, operators enable a wide range of use cases.
 
 * The datetime input column must have a consistent interval throughout the historical and additional datasets. Inconsistent diffs will cause failure on automlx and may affect performance on other frameworks.
 * It is recommended that the datetime column is passed in sorted from earliest to latest, if not, the operator will sort on your behalf.
-* It is recommended that you pass in the format of your datetime string into the ``format`` option of the ``datetime_column`` parameter. The operator uses the python datetime string format outlined here: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes
-    * For example "31/02/2024" would be "%m/%d/%Y". "July 24" would be "%B %y". 
+* It is recommended that you pass in the format of your datetime string into the ``format`` option of the ``datetime_column`` parameter. The operator uses the python datetime string format outlined here: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes (For example "31/02/2024" would be "%m/%d/%Y". "July 24" would be "%B %y".)
 
 
 **Validation Data**