AI Model Generation Assistance via Trial Association Visualization
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Solution Overview
Problem
Existing methods for constructing prediction models lack clarity in the process, making it difficult to understand and assist in the generation of models with higher accuracy.
Innovation Solution
A model generation assistance apparatus and method that acquires trial information, infers associations between trials based on differences in this information, and outputs display data with nodes representing trials and links indicating associations, facilitating a more understandable visualization of the model construction process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the model construction process is repeated while changing construction conditions to achieve higher accuracy, then the model accuracy is improved, but the understandability of the construction process deteriorates
Solution Approach 1:
The patent creates a visual copy or representation of the model construction process through a diagram that displays multiple trials and their associations. This visual copy preserves the essential information about what processes were taken while simplifying the complex repeated construction activities into an understandable graphical format, resolving the contradiction between maintaining detailed accuracy improvement processes and ensuring process understandability
Solution Approach 2:
The patent introduces an intermediary visualization system that mediates between the complex model construction process and the user's understanding. The diagram acts as an intermediary representation that translates complex trial information into an easily understandable format, allowing users to grasp the construction process without being overwhelmed by the complexity of repeated model construction activities
2Reliability
If multiple trials are conducted to construct prediction models with higher accuracy, then the model performance is improved, but the complexity of tracking and understanding different trials increases
Solution Approach 1:
The patent segments the complex model construction process into discrete trials, each represented as a separate node in the diagram. This segmentation allows multiple trials to be tracked independently while maintaining overall process visibility, reducing the complexity of tracking by breaking down the monolithic construction process into manageable, visually distinct units
Solution Approach 2:
The patent transitions from a one-dimensional list or tabular representation of trials to a two-dimensional graphical diagram where trials are represented as nodes with spatial relationships. This dimensional change enables better visualization of associations between trials, making it easier to track and understand the complex relationships without increasing perceived complexity
Data Source
AI summary
In order to attain the object of providing a technique that allows a process of constructing a model to be presented in an easily understandable manner, a model generation assistance apparatus includes: an acquisition section that acquires trial information including a parameter used in a trial in a process of constructing an AI model; an inference section that infers association between a plurality of trials on the basis of a difference between respective pieces of trial information of the plurality of trials; and an output section that outputs display data including (i) a plurality of nodes respectively representing the plurality of trials and (ii) a link representing the association.