Prediction environment integrations¶
Configure DataRobot-managed prediction environment integrations to deploy and replace DataRobot models.
Integration | Description |
---|---|
AzureML | Create a DataRobot-managed AzureML prediction environment to deploy and replace DataRobot Scoring Code in AzureML. |
SAP AI Core | Create a DataRobot-managed SAP AI Core prediction environment to deploy and replace DataRobot Scoring Code in SAP AI Core. |
Snowflake | Create a DataRobot-managed Snowflake prediction environment to deploy and replace DataRobot Scoring Code in Snowflake. |
Sagemaker | Create a DataRobot-managed Sagemaker prediction environment to deploy and replace DataRobot custom models and Scoring Code in Sagemaker. |
Feature considerations¶
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Challenger models and model replacement are not supported (challenger prediction servers can't be set to an external or serverless prediction environment).
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Only CSV files are supported for predictions. XLSX files are not supported by the code snippet.
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On the Service health tab, information such as latency, throughput, and error rate is unavailable for external, agent-monitored deployments.
Updated September 6, 2024
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