HANA ML
SAP HANA contains in-database ML libraries and related tooling for AI modeling and algorithms, based on relational data. There are a few different ways to support ML use cases, with the built-in functions of the Automated Predictive Library (APL) and the Predictive Analysis Library (PAL) and Python and R clients for SAP HANA ML.
APL and PAL
APL provides data mining capabilities based on the Automated Analytics engine of HANA through functions that run, by default, in the SAP HANA script server. APL functions provide the capabilities to develop predictive models, train the models, and run the models to answer business questions based on data stored in SAP HANA. PAL is another library that provides built-in algorithms and functions to leverage ML capabilities in HANA.
APL and PAL together provide a broad range of AI scenarios, such as Classification, Regression, Time Series Forecasting, Cluster Analysis, Association Analysis, Statistics, Social Network Analysis, Recommender...
