Capital one services, llc (20240303060). INTEROPERABLE CONTAINERIZATION FOR FEATURE FRAMEWORK simplified abstract
INTEROPERABLE CONTAINERIZATION FOR FEATURE FRAMEWORK
Organization Name
Inventor(s)
Swaroop Appu Koman of Scotch Plains NJ (US)
Thomas Barry of New York NY (US)
Tiange Huang of New York NY (US)
Paulo Frazao of Jersey City NJ (US)
Shreya Goddu of Long Island City NY (US)
INTEROPERABLE CONTAINERIZATION FOR FEATURE FRAMEWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303060 titled 'INTEROPERABLE CONTAINERIZATION FOR FEATURE FRAMEWORK
Simplified Explanation: The patent application describes a method that involves using a container image, a built distribution with feature conversion and transform classes, and a configuration package to execute a sequence of operations in a container. This process generates an intermediate data structure by converting values from a source data framework and then synthesizing features using transform classes.
- The method utilizes a container image associated with a target framework.
- It involves a built distribution with feature conversion and transform classes.
- The process includes executing operations in a container based on the configuration package.
- An intermediate data structure is generated by converting values from a source data framework.
- Features are synthesized using transform classes indicated by an identifier of a feature synthesis operation.
Potential Applications: This technology can be applied in data processing, machine learning, and software development industries where converting and synthesizing data features is essential.
Problems Solved: This method streamlines the process of converting and synthesizing data features, making it more efficient and structured.
Benefits: - Improved data processing efficiency - Enhanced feature synthesis capabilities - Streamlined software development processes
Commercial Applications: The technology can be utilized in data analytics platforms, AI model development tools, and data integration software, enhancing their feature conversion and synthesis capabilities.
Questions about the Technology: 1. How does this method improve the efficiency of feature conversion and synthesis? 2. What are the potential limitations of using transform classes in this process?
Frequently Updated Research: Stay updated on advancements in container technology, feature conversion algorithms, and data synthesis methods to enhance the efficiency and effectiveness of this technology.
Original Abstract Submitted
a method includes obtaining a container image associated with a target framework, a built distribution including a feature conversion class and a set of transform classes, and a configuration package. the method also includes executing the executables in a sequence indicated by the configuration package in a container based on the container image and generating an intermediate data structure by providing values of a source data framework to a feature conversion object constructed from the feature conversion class. the method also includes obtaining an identifier of a feature synthesis operation indicating the set of transform classes and, in response to obtaining the identifier of the feature synthesis operation, generating a transform output by providing a set of values of the intermediate data structure to a set of transform objects constructed from the set of transform classes.
