Integration of learning models into a software development system

A non-transitory machine-readable medium having executable instructions to cause one or more processing units to perform a method comprising:

• determining that a machine learning model in a first format includes sufficient data to conform to a particular model specification in a second format, the first format corresponding to a second format that is compatible with an integrated development environment (IDE), wherein the machine learning model includes a model parameter of the machine learning model;
• transforming the machine learning model into a transformed machine learning model that is compatible with the particular model specification;
• generating a code interface and code for the transformed machine learning model, the code interface including code statements in an object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model, the object includes an interface to update the model parameter, and the machine learning model indicates that the model parameter is updateable;
• and
• providing the generated code interface and the generated code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.

A device comprising:

• a processor;
• a memory coupled to the processor though a bus;
• and
• a process executed from the memory by the processor causes the processor to determine that a machine learning model in a first format includes sufficient data to conform to a particular model specification in a second format, the first format corresponding to a second format that is compatible with an integrated development environment (IDE), wherein the machine learning model includes a model parameter of the machine learning model, transform the machine learning model into a transformed machine learning model that is compatible with the particular model specification, generate a code interface and code for the transformed machine learning model, the code interface including code statements in an object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model, the object includes an interface to update the model parameter, and the machine learning model indicates that the model parameter is updateable, and provide the generated code interface and the generated code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.