Machine learning feature recommendation

A system, comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to:
• receive a specification of a desired target field for machine learning prediction and data from one or more tables storing machine learning training data;
• identify within the data from the one or more tables eligible machine learning features for building a machine learning model to perform a prediction for the desired target field;
• evaluate the eligible machine learning features using a pipeline of different evaluations to successively filter out one or more of the eligible machine learning features to identify a set of recommended machine learning features among the eligible machine learning features;
• and
• provide the set of recommended machine learning features for use in building the machine learning model.

A computer program product, the computer program product being embodied in a non-transitory computer readable medium and comprising computer instructions for:

• receiving a specification of a desired target field for machine learning prediction and one or more tables storing machine learning training data;
• identifying within the one or more tables eligible machine learning features for building a machine learning model to perform a prediction for the desired target field;
• evaluating the eligible machine learning features using a pipeline of different evaluations to successively filter out one or more of the eligible machine learning features to identify a set of recommended machine learning features among the eligible machine learning features;
• and
• providing the set of recommended machine learning features for use in building the machine learning model.