Direct Measurement Processing - Integrate Machine Learning Anomaly Scoring

Reads being processed by Machine Learning Anomaly Scoring can now be processed in memory using Direct Measurement Processing.

The Direct Measurement Processing in-memory service is much faster than traditional batch read processing. This integration will provide significant performance improvements and storage reductions for Machine Learning Anomaly Scoring transactions.

Steps to enable and configure

Complete these steps:

1. Enable Direct Measurement Processing (DMP). Refer to the Configuring Direct Measurement Processing section of the Administrative User Guide for more information. Note that DMP requires the use of Smart Grid Gateway Native Adapters.
2. Enable Machine Learning (ML) Anomaly Scoring. Refer to the Configuring Machine Learning Anomaly Scoring section of  Administrative User Guide for more information. Note that ML is only available in SaaS and available for early adopters.