State Model Transform Module for Interoperable Data Flow
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Solution Overview
Problem
The challenge lies in facilitating an ordered customization and proliferation of state models, where each model processes input to generate predictions, but lacks defined inputs and outputs, leading to unwieldy customization and interoperability issues between different states.
Innovation Solution
A state machine system with a client-server architecture, utilizing a transform module with predetermined input and output interfaces at each state to harmonize data flow, ensuring consistent input and output processing across states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If different iterations of the model are used to process slightly different input in slightly different ways to predict slightly different results, then prediction accuracy is improved, but model customization and proliferation becomes unwieldly
Solution Approach 1:
The patent applies universality by creating a standardized state model interface that can handle multiple prediction tasks through configuration rather than structural variation. The model uses a universal state representation and transition framework that can be adapted to different prediction scenarios through parameter settings and input configurations, allowing one model structure to serve multiple prediction functions without requiring separate customized models for each case.
Solution Approach 2:
The patent utilizes parameter changes to enable model diversification without structural changes. By varying input parameters, state transition parameters, and prediction parameters within the standardized model framework, the system can generate different prediction results for different scenarios. This allows the same model structure to produce varied predictions by changing parameters rather than creating new model iterations.
2Adaptability or versatility
If different iterations of the model are used to process slightly different input, then adaptability is improved, but interoperability between different states deteriorates
Solution Approach 1:
The patent implements universality through a standardized state model interface that ensures consistent input processing across different states. The universal state representation, transition functions, and output formats allow the model to adapt to different input types while maintaining interoperability through standardized communication protocols and data structures that work consistently across all state transitions.
Solution Approach 2:
The patent uses an intermediary standardized interface layer between different state models. This intermediary layer handles input normalization, state transition coordination, and output standardization, allowing different input formats to be processed consistently while ensuring reliable interoperability between states through the mediating standardization layer.
Data Source
AI summary
Systems and methods to facilitate a customization and proliferation of models are described. The system receives, via a first interface, table information and communicates the table information to a first model. The first model includes logic to process the values to generate a column of predicted values. The system receives a column of predicted values from the first model. The system appends the column of predicted values to the table information to generate appended table information. The system communicates, via a second interface, the appended table information to a second state including a second plurality of models. The sequence of states is associated with a plurality of interfaces including the first interface and the second interface. The interfaces facilitate a customization and proliferation of models.