Model Evaluation Framework with Configurable Libraries
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Solution Overview
Problem
Existing techniques for evaluating computer-based models lack user accessibility and the ability to analyze model performance across various data subsets, often requiring specialized coding and being inflexible across different data formats, which complicates their management and adaptation for organizations.
Innovation Solution
A model management system that enables automatic and consistent evaluation of multiple models through defined evaluation configurations, utilizing interactive graphical user interfaces and evaluation libraries to assess models based on specific objectives, data sets, and metrics, allowing for the selection and application of evaluation libraries tailored to specific needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing model evaluation techniques are used, then model accuracy assessment can be performed, but user accessibility and ease of operation deteriorate due to requiring specialized coding knowledge
Solution Approach 1:
The patent introduces an intermediary evaluation system that mediates between the complex model evaluation processes and end users. This system provides pre-configured evaluation templates, automated data processing, and standardized reporting mechanisms that hide the complexity of coding requirements while maintaining accurate model assessment capabilities.
Solution Approach 2:
The evaluation process is segmented into modular components including data preparation modules, evaluation metric modules, and reporting modules. Each module can be independently configured and executed, allowing users to perform accurate model evaluation through simple module selection rather than writing complex integrated code.
2Measurement precision
If existing model evaluation techniques are used, then model performance can be assessed, but adaptability across different data formats deteriorates due to format-specific requirements
Solution Approach 1:
The patent implements a universal evaluation framework that can handle multiple data formats through standardized interfaces. The system includes format-agnostic data ingestion capabilities, configurable evaluation templates that adapt to different model types, and unified reporting mechanisms that work across diverse evaluation scenarios, enabling the same evaluation process to be applied universally while maintaining format-specific accuracy.
3Productivity
If existing model evaluation techniques are used, then evaluation can be performed, but device complexity and management difficulty increase due to multiple separate evaluation systems
Solution Approach 1:
The patent merges multiple separate evaluation capabilities into a single integrated evaluation platform. This consolidation combines various evaluation metrics, data processing functions, and reporting mechanisms into one unified system that can be centrally managed, reducing the complexity of maintaining multiple separate evaluation tools while preserving comprehensive evaluation functionality.
Data Source
AI summary
Computer-implemented systems and methods are disclosed, including for evaluation of computer-based models in a management framework. A computer-implemented method may include, for example, receiving one or more inputs including requesting to add an evaluation configuration to a defined modeling objective, specifying at least a first evaluation data set for the evaluation configuration, specifying at least a first evaluation library for the evaluation configuration, and specifying at least a first subset definition for the evaluation configuration. A computer-implemented method may in response to the one or more user inputs include: creating, storing, and/or updating the evaluation configuration. A computer-implemented method may include evaluating, based on the evaluation configuration, the one or more models associated with the defined modeling objective.