Welcome to Predictive Learning Essentials Help¶
System Manual
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The Predictive Learning Essentials system provides infrastructure and tooling for data scientists to create statistical and machine learning algorithms, enabling rapid model development and execution.
When applied to IoT, service, field, and other data streams, Predictive Learning machine learning algorithms provide valuable insights into the future behavior of machines, processes, and products. These insights enable system optimization at both granular and comprehensive levels, predictive maintenance planning, and root cause analysis of process disruptions.
Predictive Learning facilitates:
- Direct access to Insights Hub APIs and Predictive Learning Essentials public APIs
- Rapid model development and execution using statistical and machine learning algorithms
- Import and execution of Docker models created outside Predictive Learning
- Automated model scheduling for recurring reports and analysis
Future releases will continue to enhance the model development and execution experience based on user feedback.
Except where otherwise noted, content on this site is licensed under the Development License Agreement.