Abstract: Disclosed is a method performed by a computing device for implementing a Graphical User Interface (GUI) providing a development environment, the method including: setting, by a computing device, a plurality of code blocks; designating two or more execution target blocks among the plurality of code blocks; constructing one or more pipelines defining a relationship between the two or more execution target blocks and connecting the two or more execution target blocks; and executing at least some of the two or more execution target blocks based on the connection relationship of the one or more pipelines.

Abstract: According to an embodiment of the present disclosure for solving the aforementioned problem, disclosed is a computer program stored in a computer-readable storage medium executable by one or more processors, in which when the computer program is executed by one or more processors of a computer device, the computer program allows the one or more processors to perform the following operations for data processing, and the operations may include: an operation of generating a plurality of transformed data based on each of a plurality of data included in a data set; an operation of generating a test data set based on the plurality of data and the plurality of transformed data; and an operation of testing the performance of the model by calculating the test data set by using the model.

Abstract: According to an embodiment of the present disclosure for solving the aforementioned problem, disclosed is a computer program stored in a computer-readable storage medium executable by one or more processors, in which when the computer program is executed by one or more processors of a computer device, the computer program allows the one or more processors to perform the following operations for data processing, and the operations may include: an operation of generating a plurality of transformed data based on each of a plurality of data included in a data set; an operation of generating a test data set based on the plurality of data and the plurality of transformed data; and an operation of testing the performance of the model by calculating the test data set by using the model.

Abstract: According to an embodiment of the present disclosure for solving the aforementioned problem, disclosed is a computer program stored in a computer-readable storage medium executable by one or more processors, in which when the computer program is executed by one or more processors of a computer device, the computer program allows the one or more processors to perform the following operations for data processing, and the operations may include: an operation of generating a plurality of transformed data based on each of a plurality of data included in a data set; an operation of generating a test data set based on the plurality of data and the plurality of transformed data; and an operation of testing the performance of the model by calculating the test data set by using the model.

Abstract: According to an embodiment of the present disclosure for solving the aforementioned problem, disclosed is a computer program stored in a computer-readable storage medium executable by one or more processors, in which when the computer program is executed by one or more processors of a computer device, the computer program allows the one or more processors to perform the following operations for data processing, and the operations may include: an operation of generating a plurality of transformed data based on each of a plurality of data included in a data set; an operation of generating a test data set based on the plurality of data and the plurality of transformed data; and an operation of testing the performance of the model by calculating the test data set by using the model.

Abstract: Disclosed is a non-transitory computer readable medium storing a computer program. When the computer program is executed by one or more processors of a computer device, the computer program causes one or more processes to perform the following operations for data processing, and the operations may include: calculating a first probability distribution and a first sample statistical amount for a first sample data set; training a pseudo anomaly generation model that learns a second probability distribution and a second sample statistical amount for a second sample data set; and generating a training data set based on the pseudo anomaly generation model.

Abstract: Disclosed is a computer program stored in a computer readable storage medium, in which when the computer program is executed in one or more processors, the computer program performs operations for training a neural network, the operations including: displaying a first screen including at least one first object receiving a selection input for a project; and displaying a second screen for displaying information related to the project corresponding to the selected project, in which the second screen includes at least one of a first output portion for displaying time series data obtained from a sensor or a second output portion for displaying a selection portion including at least one second object for receiving a selection input related to a model retraining or information corresponding to the second object.