Abstract: A system can include a data processing system that can include memory and one or more processors to generate, by a first model trained using machine learning and compatible with first data having a first type and second data having a second type, a first metric based on the first data and indicating a first fault probability in a second model, generate, by the first model, a second metric based on the second data and indicating a second fault probability in a third model, determine, based on the first metric and the second metric, that an aggregate model that includes the second model and the third model satisfies a heuristic indicating a third fault probability in the aggregate model, and instruct, in response to a determination that the aggregate model satisfies the heuristic, a user interface to present an indication that the aggregate model satisfies the heuristic.

Abstract: Methods for automatically generating documentation for a computer-implemented model are provided. In some embodiments, automatically generating documentation for a computer-implemented model includes receiving user input indicative of selection of the computer-implemented model, receiving user input indicative of selection of a documentation template including synthetic content placeholders, and automatically generating documentation for the computer-implemented model by automatically generating synthetic content for each of the synthetic content placeholders based on one or more characteristics of the computer-implemented model, and automatically populating the synthetic content placeholders with the synthetic content.

Abstract: A system and method for dynamically discounting trade debt through the use of a forward auction is provided. In one example, a system that allows a seller to auction inventory to a plurality of bidders. According to this embodiment, the system may determine eligibility for acceptance of bids submitted by the bidders and a plurality of bids may be determined to be eligible for acceptance. Further, a margin by which the bids are acceptable may be determined and a representation of the margin may be communicated. In another example, a method is provided for discounting debt using an auction system. According to this embodiment, a seller may configure an auction event with auction parameters, such as hurdle rates, that will best serve the goals of the auction. The seller may alter event parameters while the event is ongoing, thus further enhancing the ability of the seller to meet auction objectives.

Abstract: A system and method for dynamically discounting trade debt through the use of a forward auction is provided. In one example, a system that allows a seller to auction inventory to a plurality of bidders. According to this embodiment, the system may determine eligibility for acceptance of bids submitted by the bidders and a plurality of bids may be determined to be eligible for acceptance. Further, a margin by which the bids are acceptable may be determined and a representation of the margin may be communicated. In another example, a method is provided for discounting debt using an auction system. According to this embodiment, a seller may configure an auction event with auction parameters, such as hurdle rates, that will best serve the goals of the auction. The seller may alter event parameters while the event is ongoing, thus further enhancing the ability of the seller to meet auction objectives.

Abstract: A system and method for dynamically discounting trade debt through the use of a forward auction is provided. In one example, a system that allows a seller to auction inventory to a plurality of bidders. According to this embodiment, the system may determine eligibility for acceptance of bids submitted by the bidders and a plurality of bids may be determined to be eligible for acceptance. Further, a margin by which the bids are acceptable may be determined and a representation of the margin may be communicated. In another example, a method is provided for discounting debt using an auction system. According to this embodiment, a seller may configure an auction event with auction parameters, such as hurdle rates, that will best serve the goals of the auction. The seller may alter event parameters while the event is ongoing, thus further enhancing the ability of the seller to meet auction objectives.