US 9218574

US Patent 9218574, titled "User interface for machine learning," was issued on December 22, 2015, from an application filed on May 29, 2013. The original assignee was PurePredictive Inc, and the current assignee is Web3ai Technologies LLC. The inventors are Kelly D. Phillipps and Richard W. Wellman.

Abstract:
A system, apparatus, and method for machine learning results are disclosed. An input module receives user input identifying one or more values for one or more machine learning parameters. A display module displays one or more machine learning results for one or more identified machine learning parameters in response to the input module receiving user input. An update module dynamically updates one or more displayed machine learning results in response to the input module receiving additional user input identifying one or more additional values for one or more machine learning parameters. One or more machine learning results are determined using machine learning and an identified machine learning parameter. The system, apparatus, and method may predetermine permutations of machine learning results for each of one or more predictive programs at predefined increments between minimum values for machine learning parameters and maximum values for the machine learning parameters.

Plain-Language Overview of Independent Claims:

Claim 1 (Independent System Claim):
This claim describes a system designed to provide dynamic machine learning results. It includes an input module to get user selections for machine learning parameters (like changing a variable in a model). There's a display module to show the machine learning results based on these user inputs. An update module then automatically adjusts the displayed results quickly when the user changes a parameter again. The system pre-calculates many possible machine learning results for a range of parameter values, storing them so that updates can happen almost instantly without needing to run new calculations on the fly.

Claim 9 (Independent Method Claim):
This claim outlines a method for dynamically displaying machine learning results. It involves receiving user input that specifies values for machine learning parameters. Then, it displays the machine learning results that correspond to these chosen parameters. If the user provides more input (e.g., changes a parameter), the displayed results are updated dynamically. This method uses machine learning to determine the results based on the parameters. Critically, it involves pre-calculating and storing a wide range of machine learning results for various combinations and increments of parameters before user interaction occurs, allowing for rapid updates.

Claim 16 (Independent System Claim):
This claim details a system for presenting collaborative machine learning results. It features an input module that can receive input from multiple users, where each user identifies values for machine learning parameters for different predictive programs. A pre-compute module is responsible for pre-determining (pre-calculating and caching) permutations of machine learning results for each of these predictive programs, across a range of parameter values. Finally, a display module shows these pre-determined machine learning results to the multiple users, based on their identified parameter values.

Litigation Status:
US Patent 9218574 is currently active and is noted to be involved in ongoing litigation. This includes a pending PTAB (Patent Trial and Appeal Board) case, IPR2026-00223, which was filed in 2026. Additionally, there are US district court cases filed in the Virginia Eastern District Court (case numbers 2:25-cv-00260 and 1:25-cv-00757). While a direct 2026 docket for US9218574 was not immediately found in a search of CAFC dockets, PTAB decisions are often appealed to the Federal Circuit.