Predictive Analytics

Build 10.4.6.0.8

• Embedded Zementis engine within a microservice package for Cumulocity IoT.
  • Minimized footprint for the Zementis microservice along with improved performance.
  • Comprehensive REST API for model and resource management and data processing.
  • Intuitive web application which leverages the REST API of the Zementis microservice.
• Added support for following capabilities -
  • Upload/delete/download of PMML models and custom resources to Cumulocity IoT. Users can also upload compressed PMML file (ZIP). The PMML file must be the only entry in the ZIP file.
  • Enabled batch processing of data against available models on Cumulocity IoT. Users can even upload compressed CSV/JSON/Image files (ZIP) for batch processing.
  • Visualize Model KPIs including memory metrics and prediction metrics. These metrics help users to view the memory footprint of every model that they have and also summarize the real-time predictions from each model.
  • Model activation/de-activation at runtime. De-activation evicts the model from JVM heap, allowing the Zementis Microservice to manage more models than available heap.
• Support PMML 4.3 standard.
• Added compliance with upcoming PMML 4.4 release features:
  • Support for multiple model methods “weightedSum” and “weightedMedian”
  • Support for new MiningField@invalidValueReplacement attribute
  • Support for new Lag@aggregate attribute
  • Support for new built-in Functions: isValid, isNotValid, modulo(%), sin, asin, sinh, cos, acos, cosh, tan, atan, tanh, rint, hypot, ln1p, expm1