https://community.databricks.com/t5/machine-learning/model-monitoring-issues-for-databricks-trainied-model-and/m-p/11973#M601 <P>We have trined the model in Databricks and Deployed in SageMaker.&nbsp;After deployment, We set the baseline for the model and enable model monitoring.&nbsp;</P><P>After enabling the data capture for the SageMaker endpoint, we receive the following error when we do the invocation request.</P><P></P><P>Latest execution status: Failed</P><P>Latest execution result: Error: Encoding mismatch: Encoding is CSV for endpointInput, but Encoding is JSON for endpointOutput. We currently only support the same type of input and output encoding at the moment.</P><P></P><P>Please Note:&nbsp;We are receiving this error for any model trained in Databricks.&nbsp;Any help / pointers on this issue would be really great.&nbsp;&nbsp;</P><P></P><P>Thanks in Advance.&nbsp;</P> Fri, 29 Oct 2021 16:21:07 GMT Gopi0403 2021-10-29T16:21:07Z https://community.databricks.com/t5/machine-learning/model-monitoring-issues-for-databricks-trainied-model-and/m-p/11973#M601 <P>We have trined the model in Databricks and Deployed in SageMaker.&nbsp;After deployment, We set the baseline for the model and enable model monitoring.&nbsp;</P><P>After enabling the data capture for the SageMaker endpoint, we receive the following error when we do the invocation request.</P><P></P><P>Latest execution status: Failed</P><P>Latest execution result: Error: Encoding mismatch: Encoding is CSV for endpointInput, but Encoding is JSON for endpointOutput. We currently only support the same type of input and output encoding at the moment.</P><P></P><P>Please Note:&nbsp;We are receiving this error for any model trained in Databricks.&nbsp;Any help / pointers on this issue would be really great.&nbsp;&nbsp;</P><P></P><P>Thanks in Advance.&nbsp;</P> Fri, 29 Oct 2021 16:21:07 GMT https://community.databricks.com/t5/machine-learning/model-monitoring-issues-for-databricks-trainied-model-and/m-p/11973#M601 Gopi0403 2021-10-29T16:21:07Z