Abstract: A device and computer implemented method. The method includes determining, in a representation of relationships between elements, an element representing a first characteristic of a machine learning pipeline, determining, in the representation, an element representing a second characteristic of the machine learning pipeline depending on the element representing the first characteristic, outputting an output for the element representing the second characteristic, detecting an input, in particular of a user, either determining a parameter of the machine learning pipeline depending on the element representing the second characteristic if the input meets a requirement or not determining the parameter of the machine learning pipeline depending on the element representing the second characteristic otherwise.

Abstract: A computer-implemented method for predicting a target indicator of a technical system. The method includes: providing a set of data comprising at least data of a first type and at least data of a second type, transforming at least the data of the first type into a first processed subset, transforming at least the data of the second type into a second processed subset, transforming at least the first processed subset and the second processed subset into merged data, and predicting a target indicator of the technical system based on the merged data.