Patent ID: 11941494
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A system for developing an enterprise machine learning (ML) model within a notebook application, comprising: at least one processor and a memory storing instructions and in electronic communication with the at least one processor, the at least one processor being configured to execute the instructions to:
create, via a data science notebook application, a prototype ML model using a plurality of files created by a runtime environment based on first training data and first model parameters, wherein the plurality of files includes a model of a file structure for the plurality of files, and wherein the plurality of files includes a configuration file indicating hyperparameters for the prototype ML model, a data loading file indicating training data to be loaded for a training stage, and a training file for training the prototype ML model;
generate, via the data science notebook application, a production ML package for the prototype ML model by packaging the runtime environment and the plurality of files, the plurality of files including the configuration file, the data loading file, and the training file;
distribute the production ML package to an ML platform; and
generate an enterprise ML model within the ML platform by running the production ML package, wherein running the production ML package includes setting the hyperparameters, loading the training data, and training the enterprise ML model within the runtime environment, and wherein training the enterprise ML model includes training the enterprise ML model using second training data and second model parameters.