Abstract: Providing a representative dataset from an initial dataset by accessing a dataset associated with a machine learning model, receiving input parameters associated with the representative dataset selection, the input parameters including an evaluation metric, determining a density of a plurality of datapoints associated with the dataset, training a first iteration of a machine learning model using a first data point selected according to the density, determining a first value of the evaluation metric for the first iteration of the machine learning model, generating a representative subset based on the first value of the evaluation metric value, and providing the representative dataset and a final machine learning model trained using the representative dataset.

Abstract: Model data comprising a model object and model metadata is extracted from a trained model. The model data is integrated within a function executable from within a database system environment. The integrated function is deployed within the database system environment, the deploying activating the trained model for execution within the database system environment.