Model object management and storage system

A method comprising:

• receiving an input to access a model management interface, the model management interface configured to receive one or more model inputs to create, store or access a model object, the model object including a machine learning model;
• identifying, based on the input, a first model state and a second model state corresponding to the machine learning model, the first model state being generated based on a first set of variables, and the second model state being generated based on the model object in the first model state and a second set of variables;
• and
• generating a representation of data indicative of a model pipeline of the machine learning model, the data indicative of the model pipeline including the first model state and the second model state;
• wherein the method is performed using one or more processors.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving an input to access a model management interface, the model management interface configured to receive one or more model inputs to create, store or access a model object, the model object including a machine learning model;
• identifying, based on the input, a first model state and a second model state corresponding to the machine learning model, the first model state being generated based on a first set of variables, and the second model state being generated based on the machine learning model in the first model state and a second set of variables;
• and
• generating a representation of data indicative of a model pipeline of the machine learning model, the data indicative of the model pipeline including the first model state and the second model state.