3D Layer Model Interface for No-Code Machine Learning Design
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Solution Overview
Problem
The complexity of coding machine learning models poses a barrier for users without a background in computer science or programming, necessitating a user-friendly interface that allows for model building, training, and application without writing code.
Innovation Solution
A method and system utilizing a 3D user interface for designing machine learning models, featuring a layer input step, configuration, process, and visualization, with error verification and intuitive layer selection and parameter input, enabling users to design models through a graphical interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a traditional coding interface is used for building machine learning models, then the model can be built with precise control over parameters, but the interface becomes complex and inaccessible to users without programming background
Solution Approach 1:
The patent replaces the traditional text-based coding interface (mechanical system requiring programming knowledge) with a graphical user interface that uses visual elements like drag-and-drop components, color-coded layers, and interactive panels. This substitution eliminates the need for programming while maintaining precise control over model parameters through visual configuration.
Solution Approach 2:
The patent introduces an intermediary graphical interface layer between the user and the machine learning model construction process. This intermediary includes visual components such as layer state panels, parameter input panels, and 3D visualization elements that mediate the interaction, allowing users to configure complex models through intuitive visual operations rather than direct coding.
2Ease of operation
If a graphical interface is introduced to simplify model building, then ease of operation improves, but the system requires additional components for visualization and validation
Solution Approach 1:
The patent merges multiple functions into integrated visual components. For example, the layer state display panel simultaneously shows model architecture, parameter values, and validation status. The parameter input panels combine configuration controls with real-time validation feedback. This merging reduces the need for separate components while maintaining comprehensive functionality.
Solution Approach 2:
The patent designs visual interface components to perform multiple functions. The layer state display panel serves as both a configuration display and an error verification interface. The 3D visualization unit provides both architectural overview and detailed parameter inspection. This multi-functionality reduces overall system complexity despite the added graphical interface layer.
3Reliability
If error verification is added to prevent modeling errors, then model reliability improves, but the interface complexity increases
Solution Approach 1:
The patent implements real-time feedback mechanisms within the graphical interface. Parameter input panels provide immediate validation feedback when users enter values, showing whether parameters are valid or erroneous. The layer state display panel continuously monitors model configuration and provides feedback on potential errors. This integrated feedback system improves reliability without requiring separate verification steps or interfaces.
Data Source
AI summary
A method for designing machine learning model comprises inputting, by a layer input unit, a type of layer and parameters of the layer using a layer input panel including a layer type determination panel and a layer parameter input panel, receiving, by a layer model management unit, the type and parameters of the layer selected in the layer input step, constructing a layer model using the input layers and displaying the configuration of the layer model on the layer state display panel of the layer state panel, parsing, by a layer model process unit, the layer model displayed on the layer state display panel of the layer state panel to calculate a layer position and node position for visualization in a layer model visualization unit, and visualizing, by the layer model visualization unit, the layer model calculated in the layer model process step in 3D.