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公开(公告)号：US11526471B2
公开(公告)日：2022-12-13
申请号：US17093381
申请日：2020-11-09
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshchin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/00 , G06F16/18 , G06N7/00 , G06F16/13 , G06F16/188 , G06F30/00 , G06F111/20
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
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公开(公告)号：US11669377B2
公开(公告)日：2023-06-06
申请号：US17680859
申请日：2022-02-25
发明人： David Lisuk , Simon Slowik
IPC分类号： G06F9/54 , G06N20/00 , G06F9/455 , H04L67/133
CPC分类号： G06F9/547 , G06F9/45558 , G06N20/00 , H04L67/133 , G06F2009/45562 , G06F2009/45591 , G06F2009/45595
摘要： One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.
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公开(公告)号：US20230081135A1
公开(公告)日：2023-03-16
申请号：US18051035
申请日：2022-10-31
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshichin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/18 , G06N7/00 , G06F16/13 , G06F16/188 , G06F30/00
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
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公开(公告)号：US20210055977A1
公开(公告)日：2021-02-25
申请号：US16990233
申请日：2020-08-11
发明人： David Lisuk , Simon Slowik
摘要： One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.
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公开(公告)号：US20240152490A1
公开(公告)日：2024-05-09
申请号：US18415253
申请日：2024-01-17
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshchin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/18 , G06F16/13 , G06F16/188 , G06F30/00 , G06N7/00
CPC分类号： G06F16/1873 , G06F16/13 , G06F16/196 , G06F30/00 , G06N7/00 , G06F2111/20
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
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公开(公告)号：US11907175B2
公开(公告)日：2024-02-20
申请号：US18051035
申请日：2022-10-31
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshchin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/00 , G06F16/18 , G06N7/00 , G06F16/13 , G06F16/188 , G06F30/00 , G06F111/20
CPC分类号： G06F16/1873 , G06F16/13 , G06F16/196 , G06F30/00 , G06N7/00 , G06F2111/20
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
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公开(公告)号：US20210056083A1
公开(公告)日：2021-02-25
申请号：US17093381
申请日：2020-11-09
发明人： David Lisuk , Daniel Erenrich , Guodong Xu , Luis Voloch , Rahul Agarwal , Simon Slowik , Aleksandr Zamoshchin , Andre Frederico Cavalheiro Menck , Anirvan Mukherjee , Daniel Chin
IPC分类号： G06F16/18 , G06N7/00 , G06F16/13 , G06F30/00 , G06F16/188
摘要： A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.
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公开(公告)号：US12045678B2
公开(公告)日：2024-07-23
申请号：US18139663
申请日：2023-04-26
发明人： David Lisuk , Simon Slowik
IPC分类号： G06F9/54 , G06F9/455 , G06N20/00 , H04L67/133
CPC分类号： G06F9/547 , G06F9/45558 , G06N20/00 , H04L67/133 , G06F2009/45562 , G06F2009/45591 , G06F2009/45595
摘要： One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.
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公开(公告)号：US20230259416A1
公开(公告)日：2023-08-17
申请号：US18139663
申请日：2023-04-26
发明人： David Lisuk , Simon Slowik
IPC分类号： G06F9/54 , G06N20/00 , G06F9/455 , H04L67/133
CPC分类号： G06F9/547 , G06N20/00 , G06F9/45558 , H04L67/133 , G06F2009/45562 , G06F2009/45591 , G06F2009/45595
摘要： One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.
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公开(公告)号：US20220179723A1
公开(公告)日：2022-06-09
申请号：US17680859
申请日：2022-02-25
发明人： David Lisuk , Simon Slowik
IPC分类号： G06F9/54 , G06N20/00 , G06F9/455 , H04L67/133
摘要： One or more virtual machines are launched at an application platform. At each of the one or more virtual machines, a machine learning model execution environment is instantiated for an instance of a machine learning model. A respective instance of the machine learning model is loaded to each machine learning model execution environment. Each loaded instance of the machine learning model is associated with an application programming interface (API) endpoint which can receive input data for the loaded instance of the machine learning model from a client device and return output data produced by the loaded instance of the machine learning model based on the input data.
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