Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.
Type:
Grant
Filed:
November 28, 2022
Date of Patent:
January 30, 2024
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: An analytic model generated in a data scientist model acquisition toolbench is received. An analytic model is translated using a structuring tool. An execution simulation for testing the translated analytic model is performed for executing the model in the data scientist model acquisition toolbench.
Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.
Type:
Grant
Filed:
October 19, 2020
Date of Patent:
January 3, 2023
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: An analytic model generated in a data scientist model acquisition toolbench is received. An analytic model is translated using a structuring tool. An execution simulation for testing the translated analytic model is performed for executing the model in the data scientist model acquisition toolbench.
Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.
Type:
Grant
Filed:
May 20, 2020
Date of Patent:
May 11, 2021
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: At an interface a first analytic model for processing data and a second analytic model for processing data are received. A first virtualized execution environment is generated for a first analytic engine that includes executable code to implement the first analytic model for processing a first input data stream. A second virtualized execution environment is generated for a second analytic engine that includes executable code to implement the second analytic model for processing a second input data stream. The first virtualized execution environment for the first analytic engine and the second virtualized execution environment for the second analytic engine are deployed.
Type:
Grant
Filed:
September 12, 2019
Date of Patent:
January 12, 2021
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.
Type:
Grant
Filed:
February 5, 2020
Date of Patent:
December 8, 2020
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: A virtualized execution environment is generated for an analytic engine that includes executable code to implement an analytic model for processing an input data stream. At an interface a configuration for the analytic model is received. The virtualized execution environment is dynamically configured for the analytic engine at runtime based on the configuration for the analytic model.
Type:
Grant
Filed:
September 29, 2017
Date of Patent:
July 7, 2020
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko
Abstract: At an interface an analytic model for processing data is received. The analytic model is inspected to determine a language, an action, an input type, and an output type. A virtualized execution environment is generated for an analytic engine that includes executable code to implement the analytic model for processing an input data stream.
Type:
Grant
Filed:
September 29, 2017
Date of Patent:
March 24, 2020
Assignee:
ModelOp, Inc.
Inventors:
Stuart Bailey, Matthew Mahowald, Maksym Kharchenko