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

Claim 16:
17. A method of authoring an enterprise machine learning (ML) package from a local notebook application, comprising:
creating, by the local notebook application, a structured set of files for the enterprise ML package, wherein the local notebook application comprises a software application for documenting, visualizing, and iterating ML models, wherein the structured set of files is generated within a runtime environment based on an ML package template, wherein the structured set of files includes a model of a file structure for the structured set of files, and wherein the structured set of files includes a configuration file indicating hyperparameters for a 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;
developing, by the local notebook application, the prototype ML model using the structured set of files, including steps of feature engineering, model engineering, and experimentation;
generating, by the local notebook application, the enterprise ML package by packaging the runtime environment and the structured set of files; and
generating an enterprise ML model by running the enterprise ML package, wherein running the enterprise ML package includes setting the hyperparameters, loading the training data, and training the enterprise ML model within the runtime environment.