Automatic discovery of machine learning model features

A non-transitory computer-readable medium storing instructions which, when executed by a processing system including at least one processor, cause the processing system to perform operations, the operations comprising:

• monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model;
• detecting, within the interactions, an event that triggers a suggestion feature;
• performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, wherein a search parameter for the search is based on a current context of a building process for building the new machine learning model;
• presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model;
• receiving a user feedback in response to the suggestion;
• and
• generating an updated suggestion in response to the user feedback.

A device comprising:

• a processing system including at least one processor;
• and
• a non-transitory computer-readable medium storing instructions which, when executed by the processing system, cause the processing system to perform operations, the operations comprising:
• monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model;
• detecting, within the interactions, an event that triggers a suggestion feature;
• performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, wherein a search parameter for the search is based on a current context of a building process for building the new machine learning model;
• presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model;
• receiving a user feedback in response to the suggestion;
• and
• generating an updated suggestion in response to the user feedback.