Detecting trends in evolving analytics models

A computer system for detecting trends in an analytics model, the system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor to perform:

• receiving data representing pre-existing instances of an analytics model developed over time;
• detecting changes in state of the analytics model over time to detect trends;
• generating a new instance of the analytics model that has been modified based on detected trends in the analytics model;
• generating new training data based on discovered trends of the analytics model over time;
• comparing a coverage of the new instance of the analytics model and coverages of the pre-existing instances of the analytics model with the new training data;
• and
• determining whether new instance of the analytics model have better coverage than the pre-existing instances of the analytics model with the new training data.

A computer program product for detecting trends in an analytics model, the computer program product comprising a non-transitory computer readable storage having program instructions embodied therewith, the program instructions executable by a computer, to cause the computer to perform a method comprising:

• receiving data representing pre-existing instances of an analytics model developed over time;
• detecting changes in state of the analytics model over time to detect trends;
• generating a new instance of the analytics model that has been modified based on detected trends in the analytics model;
• generating new training data based on discovered trends of the analytics model over time;
• comparing a coverage of the new instance of the analytics model and coverages of the pre-existing instances of the analytics model with the new training data;
• and
• determining whether new instance of the analytics model have better coverage than the pre-existing instances of the analytics model with the new training data.