Using external models
To give you the utmost in machine learning flexibility and scalability, OpenText™ Analytics Database supports importing, exporting, and predicting with PMML and TensorFlow models.
The machine learning configuration parameter MaxModelSizeKB sets the maximum size of a model that can be imported into the database.
Support for PMML models
OpenText™ Analytics Database supports the import and export of machine learning models in Predictive Model Markup Language (PMML) format. Support for this platform-independent model format allows you to use models trained on other platforms to predict on data stored in your database. You can also use the database as your model repository. OpenText™ Analytics Database supports PMML version 4.4.1.
With the PREDICT_PMML function, you can use an archived PMML model to run prediction on data stored in the database. For more information, see Using PMML models.
For details on the PMML models, tags, and attributes that OpenText™ Analytics Database supports, see PMML features and attributes.
Support for TensorFlow models
OpenText™ Analytics Database now supports importing trained TensorFlow models, and using those models to do prediction on data stored in the database. OpenText™ Analytics Database supports TensorFlow models trained in TensorFlow version 1.15.
The PREDICT_TENSORFLOW and PREDICT_TENSORFLOW_SCALAR functions let you predict on data with TensorFlow models.
For additional information, see TensorFlow models.
Additional external model support
The following functions support both PMML and TensorFlow models: