Eclipse Grela carries out the automatic versioning of datasets, the Data Science work of data analysis, cleaning and selection and the machine learning work of model adjustment and training. All these phases are configurable, being able to adjust the requests to the specific use case to be solved.
The integration with clients or external systems is simplified, giving access to web endpoints from which datasets can be registered, models can be trained and results reports can be obtained, allowing the aforementioned configurations. The architecture allows the scalability of several clients at the same time.
The functionalities of Eclipse Grela can be divided into two main groups, those aimed at prediction and those aimed at anomaly detection. Both groups are implemented on the same architecture and can be used independently.