Updateable Predictive Analytical Modeling
2 Assignments
0 Petitions
Accused Products
Abstract
Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.
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Citations
45 Claims
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1-22. -22. (canceled)
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23. A computer-implemented system comprising:
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one or more computers; one or more data storage devices in data communication with the one or more computers, storing; a training data repository that includes a first plurality of training data sets belonging to a client entity and received over a network from a client computing system; a plurality of training functions; and instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising; generating a plurality of trained predictive models using the plurality of training functions and the first plurality of training data sets; generating a respective effectiveness score for each of the plurality of trained predictive models, wherein each effectiveness score represents an estimation of the effectiveness of its respective trained predictive model; selecting a first trained predictive model for the client entity from among the plurality of trained predictive models based on the respective effectiveness scores; and providing access to the first trained predictive model to a user authorized by the client entity to access the first trained predictive model. - View Dependent Claims (24, 25, 26, 27, 28, 29, 30, 31)
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32. A computer-implemented method comprising:
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receiving a first plurality of training data sets belonging to a client entity from a client computing system over a network; generating a plurality of trained predictive models using a plurality of training functions and the first plurality of training data sets; generating a respective effectiveness score for each of the plurality of trained predictive models; selecting a first trained predictive model for the client entity from among the plurality of trained predictive models based on the respective effectiveness scores; and providing access to the first trained predictive model to a user authorized by the client entity to access the first trained predictive model. - View Dependent Claims (33, 34, 35, 36, 37, 38)
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39. A computer-readable storage device encoded with a computer program product, the computer program product comprising instructions that when executed on one or more computers cause the one or more computers to perform operations comprising:
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receiving a first plurality of training data sets belonging to a client entity from a client computing system over a network; generating a plurality of trained predictive models using a plurality of training functions and the first plurality of training data sets; generating a respective effectiveness score for each of the plurality of trained predictive models, wherein each effectiveness score represents an estimation of the effectiveness of its respective trained predictive model; selecting a first trained predictive model for the client entity from among the plurality of trained predictive models based on the respective effectiveness scores; and providing access to the first trained predictive model to a user authorized by the client entity to access the first trained predictive model. - View Dependent Claims (40, 41, 42, 43, 44, 45)
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Specification