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1. 发明申请

US20210056083A1 MODEL OBJECT MANAGEMENT AND STORAGE SYSTEM 有权
公开(公告)号：US20210056083A1
公开(公告)日：2021-02-25
申请号：US17093381
申请日：2020-11-09
申请人： Palantir Technologies Inc.
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.

2. 发明申请

US20220179723A1 PROVIDING APPLICATION PROGRAMMING INTERFACE ENDPOINTS FOR MACHINE LEARNING MODELS 有权
公开(公告)号：US20220179723A1
公开(公告)日：2022-06-09
申请号：US17680859
申请日：2022-02-25
申请人： Palantir Technologies Inc.
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.

3. 发明授权

US11288110B2 Providing application programming interface endpoints for machine learning models 有权
公开(公告)号：US11288110B2
公开(公告)日：2022-03-29
申请号：US16990233
申请日：2020-08-11
申请人： Palantir Technologies, Inc.
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.

4. 发明申请

US20230081135A1 MODEL OBJECT MANAGEMENT AND STORAGE SYSTEM 有权
公开(公告)号：US20230081135A1
公开(公告)日：2023-03-16
申请号：US18051035
申请日：2022-10-31
申请人： Palantir Technologies Inc.
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.

5. 发明申请

US20220107980A1 PROVIDING AN OBJECT-BASED RESPONSE TO A NATURAL LANGUAGE QUERY 有权
公开(公告)号：US20220107980A1
公开(公告)日：2022-04-07
申请号：US17550921
申请日：2021-12-14
申请人： Palantir Technologies Inc.
发明人： David Lisuk , Eric Porter , Aditya Shashi , Ilai Soloducho , John Wiseheart , Guodong Xu , Maciej Foks
IPC分类号： G06F16/903 , G06N20/00 , G06F16/9032 , G06F40/205 , G06F16/2457 , G06F40/40 , G06F16/9038
摘要： A data analysis system presents a user interface to allow a user to provide a natural language query pertaining to a dataset, wherein the dataset is associated with a data object model comprising a plurality of objects and receives, via the user interface, user input specifying the natural language query. The data analysis system further modifies, in the user interface, the user input to visually indicate one or more portions of the natural language query that each represent one of the plurality of objects and presents, in the user interface, a response to the natural language query, the response being based on data from the dataset, the data corresponding to the one of the plurality of objects.

6. 发明申请

US20210055977A1 PROVIDING APPLICATION PROGRAMMING INTERFACE ENDPOINTS FOR MACHINE LEARNING MODELS 有权
公开(公告)号：US20210055977A1
公开(公告)日：2021-02-25
申请号：US16990233
申请日：2020-08-11
申请人： Palantir Technologies, Inc.
发明人： David Lisuk , Simon Slowik
IPC分类号： G06F9/54 , H04L29/06 , G06N20/00 , G06F9/455
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.

7. 发明授权

US11526471B2 Model object management and storage system 有权
公开(公告)号：US11526471B2
公开(公告)日：2022-12-13
申请号：US17093381
申请日：2020-11-09
申请人： Palantir Technologies Inc.
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.

8. 发明申请

US20220138034A1 SYSTEMS AND METHODS FOR VALIDATING DATA 有权
公开(公告)号：US20220138034A1
公开(公告)日：2022-05-05
申请号：US17573580
申请日：2022-01-11
申请人： Palantir Technologies Inc.
发明人： David Lisuk , Guodong Xu , Luis Voloch , Matthew Elkherj
IPC分类号： G06F11/07 , G06F3/048 , G06Q10/10 , G06F17/18 , G06F16/23 , G06F16/43
摘要： Systems and methods are validating data in a data set. A data set including data to validate and a validator to use in validating the data is selected based on user input generated based on interactions of a user with a graphical user interface. The validator is applied to the data to determine whether one or more statistics generated through application of the validator to the data is valid or invalid based on a validation routine associated with the validator. A data quality report indicating whether the data set is valid or invalid, based on a determination of whether the one or more statistics is valid or invalid, is generated and selectively presented to the user through the graphical user interface.

9. 发明授权

US11238102B1 Providing an object-based response to a natural language query 有权
公开(公告)号：US11238102B1
公开(公告)日：2022-02-01
申请号：US16249774
申请日：2019-01-16
申请人： Palantir Technologies Inc.
发明人： David Lisuk , Eric Porter , Aditya Shashi , Ilai Soloducho , John Wiseheart , Guodong Xu , Maciej Foks
IPC分类号： G06F16/2457 , G06F16/903 , G06F16/9032 , G06F16/9038 , G06F40/205 , G06F40/40 , G06N20/00
摘要： A data analysis system receives a data string comprising a natural language query pertaining to a dataset, wherein the dataset is associated with a data object model comprising a plurality of objects, and parses the data string to identify a plurality of individual words within the data string. The data analysis system identifies, based on the plurality of individual words, one or more objects of the plurality of objects, wherein the one or more objects are associated with the natural language query in the data string. The data analysis system further determines one or more artifacts that are based on the dataset, wherein each of the one or more artifacts is associated with one of the one or more objects and provides a response to the natural language query.

10. 发明授权

US09390086B2 Classification system with methodology for efficient verification 有权
标题翻译：具有有效验证方法的分类系统
公开(公告)号：US09390086B2
公开(公告)日：2016-07-12
申请号：US14483527
申请日：2014-09-11
申请人： PALANTIR TECHNOLOGIES INC.
发明人： David Lisuk , Steven Holtzen
IPC分类号： G06F17/28 , G06F17/21 , G06F17/30 , G06F3/0484 , G06N99/00
CPC分类号： G06F17/2863 , G06F3/04842 , G06F17/218 , G06F17/2775 , G06F17/30707 , G06N99/005
摘要： Techniques for a classification system with methodology for enhanced verification are described. In one approach, a classification computer trains a classifier based on a set of training documents. After training is complete, the classification computer iterates over a collection unlabeled documents uses the trained classifier to predict a label for each unlabeled document. A verification computer retrieves one of the documents assigned a label by the classification computer. The verification computer then generates a user interface that displays select information from the document and provides an option to verify the label predicted by the classification computer or provide an alternative label. The document and the verified label are then fed back into the set of training documents and are used to retrain the classifier to improve subsequent classifications. In addition, the document is indexed by a query computer based on the verified label and made available for search and display.
摘要翻译：描述了具有增强验证方法的分类系统的技术。在一种方法中，分类计算机基于一组训练文档来训练分类器。培训完成后，分类计算机迭代收集未标记的文档，使用训练有素的分类器预测每个未标记文档的标签。验证计算机检索由分类计算机分配的标签的文档之一。验证计算机然后生成用户界面，其从文档中显示选择信息，并提供验证由分类计算机预测的标签或提供替代标签的选项。然后将文件和经过验证的标签反馈到一组训练文档中，并用于重新训练分类器以改进后续分类。此外，文档由查询计算机根据经过验证的标签进行索引，并可用于搜索和显示。

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