Toolkit com.teracloud.streams.pmml 6.0.0
General Information
Overview
The PMML toolkit provides operators to score input records using PMML models .
For details on PMML see Predictive Model Markup Language. For details on WML see Watson Machine Learning Service
The toolkit provides the following operators
- PMMLScoring The operator maps tuple attributes to model predictors and emit the predicted values as output. The model can be spcified in several ways.
The toolkit supports the following features
- Flexible mapping of Streams attributes to model predictors and output fields
- Model meta-data is included in the output of the PMMLScoring operators
- The scoring operator can block tuple processing until an initial model is loaded from WML (with a configurable timeout)
Prerequisites and restrictions
- To build and run applications with this toolkit, Python 3.6 or later must be installed.
Additional information
- Version
- 6.0.0
- Required Product Version
- 7.2.0.0