公开(公告)号：US20200133977A1

公开(公告)日：2020-04-30

申请号：US16727023

申请日：2019-12-26

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Jacques Rioux ,  John Alejandro Izquierdo ,  Huina Chen ,  Juan Du

IPC: G06F16/901 ,  G06F16/903 ,  H04L29/08

Abstract: An apparatus includes a processor to: train a first neural network of a chain to generate first configuration data including first trained parameters, wherein the chain performs an analytical function generating a set of output values from a set of input values, each neural network has inputs to receive the set of input values and outputs to output a portion of the set of output values, and the neural networks are ordered from the first at the head to a last neural network at the tail, and are interconnected so that each neural network additionally receives the outputs of a preceding neural network; train, using the first configuration data, a next neural network in the chain ordering to generate next configuration data including next trained parameters; and use at least the first and next configuration data and data indicating the interconnections to instantiate the chain to perform the analytical function.

公开(公告)号：US20180181445A1

公开(公告)日：2018-06-28

申请号：US15896727

申请日：2018-02-14

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F9/50 ,  G06F17/30

CPC classification number: G06F9/5083 ,  G06F17/30949 ,  G06F17/30985

Abstract: An apparatus includes a processor to: receive, from a first remote device, a request to perform at least one iteration of a first job flow at least partly within a first federated area, wherein access to the first federated area is granted to the first remote device and not a second remote device, access to a second federated area is granted to the second remote device and not the first remote device, and a transfer area is maintained to transfer an object between the first and second federated areas; perform the at least one iteration of the first job flow; and analyze an output object generated in each iteration to determine whether a condition has been met to transfer an object from the first federated area to the transfer area to enable its transfer to the second federated area to enable its use in a second job flow.

公开(公告)号：US10740395B2

公开(公告)日：2020-08-11

申请号：US16727023

申请日：2019-12-26

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Jacques Rioux ,  John Alejandro Izquierdo ,  Huina Chen ,  Juan Du

IPC: G06F9/46 ,  G06F16/901 ,  H04L29/08 ,  G06F16/903

Abstract: An apparatus includes a processor to: train a first neural network of a chain to generate first configuration data including first trained parameters, wherein the chain performs an analytical function generating a set of output values from a set of input values, each neural network has inputs to receive the set of input values and outputs to output a portion of the set of output values, and the neural networks are ordered from the first at the head to a last neural network at the tail, and are interconnected so that each neural network additionally receives the outputs of a preceding neural network; train, using the first configuration data, a next neural network in the chain ordering to generate next configuration data including next trained parameters; and use at least the first and next configuration data and data indicating the interconnections to instantiate the chain to perform the analytical function.

公开(公告)号：US10095552B2

公开(公告)日：2018-10-09

申请号：US15896727

申请日：2018-02-14

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F9/46 ,  G06F9/50 ,  G06F17/30

Abstract: An apparatus includes a processor to: receive, from a first remote device, a request to perform at least one iteration of a first job flow at least partly within a first federated area, wherein access to the first federated area is granted to the first remote device and not a second remote device, access to a second federated area is granted to the second remote device and not the first remote device, and a transfer area is maintained to transfer an object between the first and second federated areas; perform the at least one iteration of the first job flow; and analyze an output object generated in each iteration to determine whether a condition has been met to transfer an object from the first federated area to the transfer area to enable its transfer to the second federated area to enable its use in a second job flow.

公开(公告)号：US20180173572A1

公开(公告)日：2018-06-21

申请号：US15896613

申请日：2018-02-14

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen

IPC: G06F9/50 ,  G06F17/30

CPC classification number: G06F9/5083 ,  G06F17/30949 ,  G06F17/30985

Abstract: An apparatus includes a processor to: receive, from a first remote device, a request to perform iterations of a training job flow to generate a neural network at least partly within a first federated area, wherein access to the first federated area is granted to the first remote device and not a second remote device, access to a second federated area is granted to the second remote device and not the first remote device, and a transfer area is maintained to transfer a neural network data set between the first and second federated areas; perform the at least some iterations; and analyze an output object generated in each iteration to determine whether a condition has been met to transfer a copy of the neural network data set from the first federated area to the transfer area to enable its transfer to the second federated area to test the neural network.

公开(公告)号：US20190384790A1

公开(公告)日：2019-12-19

申请号：US16556573

申请日：2019-08-30

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Jacques Rioux ,  John Alejandro Izquierdo ,  Huina Chen ,  Juan Du

IPC: G06F16/901 ,  G06F16/903 ,  H04L29/08

Abstract: An apparatus includes a processor to: train a first neural network of a chain to generate first configuration data including first trained parameters, wherein the chain performs an analytical function generating a set of output values from a set of input values, each neural network has inputs to receive the set of input values and outputs to output a portion of the set of output values, and the neural networks are ordered from the first at the head to a last neural network at the tail, and are interconnected so that each neural network additionally receives the outputs of a preceding neural network; train, using the first configuration data, a next neural network in the chain ordering to generate next configuration data including next trained parameters; and use at least the first and next configuration data and data indicating the interconnections to instantiate the chain to perform the analytical function.

公开(公告)号：US10394890B2

公开(公告)日：2019-08-27

申请号：US16226828

申请日：2018-12-20

Applicant: SAS Institute Inc.

Inventor： Minna Jin ,  Huina Chen ,  Juan Du ,  Henry Gabriel Victor Bequet

IPC: G06F9/46 ,  G06F16/901 ,  G06F16/903 ,  H04L29/08 ,  G06F9/48

Abstract: An apparatus includes a processor to: receive a request to generate a DAG of a job flow of multiple tasks of an analysis based on data table(s) and formulae of a spreadsheet data structure; correlate each indication of data required as input or output to at least a subpart of a data table; identify data dependencies and determine an order of performance among the multiple tasks based on the formulae; generate, within the specified federated area, a job flow definition that specifies the order of performance of the multiple tasks; for each task of the multiple tasks, generate, within the specified federated area, a corresponding macro data structure of multiple macro data structures; and generate the requested visualization based on the job flow definition and the multiple macro data structures.

公开(公告)号：US10360069B2

公开(公告)日：2019-07-23

申请号：US16039745

申请日：2018-07-19

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Huina Chen ,  Juan Du

IPC: G06F9/46 ,  G06F9/50 ,  H04L29/08 ,  G06F16/901 ,  G06F16/903 ,  G06N20/00 ,  G06F9/48 ,  G06K9/62 ,  G06N3/04 ,  G06N3/063

Abstract: An apparatus includes a processor to: perform a testing job flow at least partly within a testing federated area to test a neural network defined by configuration data specifying hyperparameters and trained parameters thereof; and perform a transfer flow to transfer an object indicative of results of the testing from the testing federated area to another federated area, wherein: in response to the degree of accuracy falling below a predetermined minimum threshold, the processor is caused to transfer a specification of the degree of accuracy or a portion of inaccurate output to a training federated area in which the neural network was at least partly trained; and in response to the degree of accuracy exceeding a predetermined maximum threshold, the processor is caused to transfer a copy of the neural network configuration data to a usage federated area in which the neural network is to be made available for use.

公开(公告)号：US10650045B2

公开(公告)日：2020-05-12

申请号：US16556573

申请日：2019-08-30

Applicant: SAS Institute Inc.

Inventor： Henry Gabriel Victor Bequet ,  Jacques Rioux ,  John Alejandro Izquierdo ,  Huina Chen ,  Juan Du

IPC: G06F9/46 ,  G06F16/901 ,  H04L29/08 ,  G06F16/903

Abstract: An apparatus includes a processor to: train a first neural network of a chain to generate first configuration data including first trained parameters, wherein the chain performs an analytical function generating a set of output values from a set of input values, each neural network has inputs to receive the set of input values and outputs to output a portion of the set of output values, and the neural networks are ordered from the first at the head to a last neural network at the tail, and are interconnected so that each neural network additionally receives the outputs of a preceding neural network; train, using the first configuration data, a next neural network in the chain ordering to generate next configuration data including next trained parameters; and use at least the first and next configuration data and data indicating the interconnections to instantiate the chain to perform the analytical function.

公开(公告)号：US10380185B2

公开(公告)日：2019-08-13

申请号：US16223518

申请日：2018-12-18

Applicant: SAS Institute Inc.

Inventor： Minna Jin ,  Huina Chen ,  Juan Du ,  Henry Gabriel Victor Bequet

IPC: G06F9/46 ,  G06F16/901 ,  G06F16/903 ,  H04L29/08 ,  G06F9/48

Abstract: An apparatus includes a processor to: receive a request to provide, within a specified federated area, a set of objects that enable a performance of a job flow to perform multiple tasks of an analysis based on data table(s) and formulae of a spreadsheet data structure, wherein the set of objects includes at least one task routine to perform a task of the multiple tasks; correlate each indication of data required as input or output to at least a subpart of a data table; identify data dependencies and determine an order of performance among the multiple tasks based on the formulae; generate, within the specified federated area, a job flow definition that specifies the order of performance of the multiple tasks; and for each task routine of the at least one task routine, generate, within the specified federated area, a corresponding macro data structure.