Update yaml_schema.rst

oracle · May 23, 2024 · 7707cf6 · 7707cf6
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commit 7707cf6
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/docs/source/user_guide/operators/anomaly_detection_operator/yaml_schema.rst b/docs/source/user_guide/operators/anomaly_detection_operator/yaml_schema.rst
@@ -33,13 +33,13 @@ Here is an example anomaly.yaml with every parameter specified:
         * **format**: the format of the datetime string in python notation `detailed here <https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes>`_.
 
     * **target_category_columns**: (optional) The Series ID of the target. When provided, the target data must be present for each date in the datetime_column and for each series id in the target_category_columns.
-    * **validation_data**: (optional) This dictionary contains the details for how to read the validation data. Validation data must contain all of the columns of input_data plus a column titles "anomaly".
+    * **validation_data**: (optional) This dictionary contains the details for how to read the validation data. Validation data must contain all of the columns of input_data plus a column titled "anomaly".
         * **url**: Insert the uri for the dataset if it's on object storage or Data Lake using the URI pattern ``oci://<bucket>@<namespace>/path/to/data.csv``.
         * **kwargs**: Insert any other args for pandas to load the data (``format``, ``options``, etc.) See full list in ``YAML Schema`` section.
     * **output_directory**: (optional) This dictionary contains the details for where to put the output artifacts. The directory need not exist, but must be accessible by the Operator during runtime.
         * **url**: Insert the uri for the dataset if it's on object storage or Data Lake using the URI pattern ``oci://<bucket>@<namespace>/subfolder/``.
         * **kwargs**: Insert any other args for pandas to load the data (``format``, ``options``, etc.) See full list in ``YAML Schema`` section.
-    * **model**: (optional) The name of the model framework you want to use. Defaults to "auto". Other options are: ``arima``, ``automlx``, ``prophet``, ``neuralprophet``, ``autots``, and ``auto``.
+    * **model**: (optional) The name of the model framework you want to use. Defaults to "auto". Other options are: ``automlx`` and ``autots``.
     * **model_kwargs**: (optional) This kwargs dict passes straight through to the model framework. If you want to take direct control of the modeling, this is the best way.
     * **test_data**: (optional) This dictionary contains the details for how to read the test data. Test data should contain every datetime value of the input_data, (optionally) all of the series from target_category_columns, and a column titles "anomaly" with either a 1 (non-anomalous) or 0 (anomalous).
         * **url**: Insert the uri for the dataset if it's on object storage or Data Lake using the URI pattern ``oci://<bucket>@<namespace>/path/to/data.csv``.