Patents Assigned to AIble Inc.
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Patent number: 12061532Abstract: A method includes receiving, via a graphical user interface, data characterizing user input specifying a cost of error of a prediction, a model type requirement, and a computational resource allocation for model development; determining, based on the received data and using a model, a prediction of model performance; and rendering, within the graphical user interface, a plot including a first axis, a second axis, and a region characterizing the determined prediction of model performance, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: December 21, 2018Date of Patent: August 13, 2024Assignee: AIBLE INC.Inventors: Arijit Sengupta, Jonathan Wray, Grigory Nudelman, Daniel Kane, Geoffrey Grant
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Patent number: 12045435Abstract: Data is received characterizing an impact function, a first plurality of inputs to the impact function, and a plurality of weights associated with the first plurality of inputs. A first coefficient characterizing an interaction between a first input and a second input of the plurality of inputs is calculated based on a first set of weights of the plurality of weights. The first set of weights are indicative of interaction between the first input and the second input. A graphical object including a plurality of regions is displayed in a graphical user interface (GUI). A first region and a second region of the plurality of regions are indicative of the first input and the second input, respectively. A second graphical object connecting the first region to the second region is displayed in the GUI. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: July 20, 2022Date of Patent: July 23, 2024Assignee: AIBLE INC.Inventors: Arijit Sengupta, Joseph Veltkamp, Richard Cooke, Robert Shaw, Jonathan Wray, John Delaney
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Patent number: 11892932Abstract: A method includes monitoring performance of a generated model while the generated model is being used for classification on live data, the monitoring including determining a first performance value of the generated model at a first point in time and determining a second performance value of the generated model at a second point in time; rendering, within a graphical user interface, a plot including a first axis and a second axis, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric; and rendering, within the graphical user interface and the plot, a first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: July 13, 2022Date of Patent: February 6, 2024Assignee: AIBLE INC.Inventors: Arijit Sengupta, Jonathan Wray, Grigory Nudelman, Daniel Kane, Geoffrey Grant
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Patent number: 11829918Abstract: Data characterizing inputs to a prediction process that classifies events, an output of the prediction process, and feedback data characterizing a performance of the outcome is monitored. A resource capacity affecting the outcome of the prediction process, and/or a cost-benefit affecting the outcome of the prediction process is determined from the monitoring. The determined resource capacity and/or the determined cost-benefit is provided. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: March 8, 2021Date of Patent: November 28, 2023Assignee: AIBLE INC.Inventors: Arijit Sengupta, Jonathan Wray
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Patent number: 11797152Abstract: A first node having a first location in the first GUI and indicative of a first analytical task is provided in a first graphical user interface (GUI). A multi-step analytical process includes the first analytical task. Data is received characterizing a first user input indicative of selection of the first node. A first set of nodes is displayed in the first GUI. The first set of nodes are adjacent to the first node and are associated with a next step of the multi-step analytical process. The multi-step analytical process includes at least one of importing a dataset, building a model using the dataset, and/or deploying the model to operate on live data. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: July 20, 2022Date of Patent: October 24, 2023Assignee: AIBLE INC.Inventors: Arijit Sengupta, Joseph Veltkamp, Richard Cooke, Robert Shaw, Jonathan Wray, John Delaney
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Patent number: 10586164Abstract: A method includes receiving data characterizing a target accuracy and a performance metric of a model; rendering, within a graphical user interface display space, a plot including a first axis and a second axis, the first axis including a characterization of false positive and the second axis including a characterization of false negative; and rendering, within the graphical user interface display space and within the plot, a graphical object at a location characterizing the performance metric and a visualization indicative of the target accuracy. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: October 24, 2018Date of Patent: March 10, 2020Assignee: AIble Inc.Inventors: Arijit Sengupta, Jonathan Wray, Grigory Nudelman, Daniel Kane, Geoffrey Grant