Teradata Machine Learning Engine (ML Engine) provides a suite of machine learning analytic functions to perform analytics on your full dataset. It supports use cases that require training the model with full dataset, without giving up end-to-end performance of an analytic workload.
ML Engine uses SQL-MapReduce and Collaborative Planning to enable Multi-Genre Advanced Analytics™. It is designed to work with a combination of structured, multi-structured and unstructured data (for example, text, numerical, tabular, files, CLOBs, and BLOBs data types) to perform Path and Pattern, Text, Machine Learning, Graph analytics in the same workload.
ML Engine includes two engines:
| Engine | Description |
|---|---|
| Machine Learning engine | Provides more than 100 pre-built analytic functions for Path, Pattern, Statistical, and Text analytics to solve a range of business problems. |
| Graph engine | Provides a set of functions that discover relationships between people, products, and processes within a network. |