CN111367891A - Method, device and equipment for calling modeling intermediate data and readable storage medium - Google Patents
Method, device and equipment for calling modeling intermediate data and readable storage medium Download PDFInfo
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- CN111367891A CN111367891A CN202010234990.0A CN202010234990A CN111367891A CN 111367891 A CN111367891 A CN 111367891A CN 202010234990 A CN202010234990 A CN 202010234990A CN 111367891 A CN111367891 A CN 111367891A
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
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- G06F16/212—Schema design and management with details for data modelling support
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
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Abstract
The embodiment of the invention provides a method, a device, equipment and a readable storage medium for calling modeling intermediate data, wherein the method comprises the following steps: setting a code for each modeling scheme, and setting a unique name in each modeling scheme for each intermediate data of the modeling scheme; storing intermediate data of different modeling schemes separately; the intermediate data is invoked using the encoding of the modeling scheme and the name of the intermediate data. The scheme can avoid or reduce the condition of confusion of calling, thereby being beneficial to improving the calling accuracy and improving the model training effect.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a method, a device and equipment for calling modeling intermediate data and a readable storage medium.
Background
In the process of building an AI (Artificial Intelligence) model, modeling data (the modeling data is data which needs to be used in the modeling process, and may be structured data and unstructured data (such as images, videos, voices and texts) according to different data types and also divided into original data and labeled data according to different purposes) are processed and processed, so that the generated data which is more beneficial to model training is intermediate data, the intermediate data is called in the modeling training process, and the model trained on the basis of the intermediate data has better effect.
In the prior art, a 16-bit identification code is automatically allocated according to each piece of intermediate data generated in the AI modeling process, and when the intermediate data is called, the identification code is recognized and the corresponding intermediate data is called. However, when the concurrence of modeling training is high, the identification code has the phenomena of small probability of repetition, high error rate and the like, so that the calling of the intermediate data based on the identification code can be confused, the calling accuracy is reduced, and the model training effect is poor.
Disclosure of Invention
The embodiment of the invention provides a method for calling modeling intermediate data, which aims to solve the technical problem of low accuracy of calling the intermediate data in the prior art. The method comprises the following steps:
setting a code for each modeling scheme, and setting a unique name in each modeling scheme for each intermediate data of the modeling scheme;
storing intermediate data of different modeling schemes separately;
the intermediate data is invoked using the encoding of the modeling scheme and the name of the intermediate data.
The embodiment of the invention also provides a device for calling the modeling intermediate data, so as to solve the technical problem of low accuracy of calling the intermediate data in the prior art. The device includes:
the setting module is used for setting codes for each modeling scheme and setting a unique name in the modeling scheme for each intermediate data of the modeling scheme;
the storage module is used for separately storing the intermediate data of different modeling schemes;
and the calling module is used for calling the intermediate data by adopting the codes of the modeling scheme and the names of the intermediate data.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the arbitrary modeling intermediate data calling method when executing the computer program so as to solve the technical problem of low accuracy of calling intermediate data in the prior art.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing the above-mentioned arbitrary method for calling modeling intermediate data is stored in the computer-readable storage medium, so as to solve the technical problem in the prior art that the accuracy of calling the intermediate data is low.
In the embodiment of the invention, the method sets codes for the modeling scheme, sets unique names in the modeling scheme for each intermediate data of the modeling scheme, then stores the intermediate data of different modeling schemes separately, and calls the intermediate data by adopting the codes of the modeling scheme and the names of the intermediate data. Compared with the mode of calling the intermediate data based on the identification code of the intermediate data in the prior art, the method and the device for calling the intermediate data can avoid or reduce the condition of calling confusion, are favorable for improving the calling accuracy and improving the model training effect.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a flowchart of a method for invoking modeling intermediate data according to an embodiment of the present invention;
FIG. 2 is a schematic block diagram of a method for calling modeling intermediate data according to an embodiment of the present invention;
fig. 3 is a flowchart illustrating a method for implementing the above-mentioned method for calling modeling intermediate data according to an embodiment of the present invention;
FIG. 4 is a block diagram of a computer device according to an embodiment of the present invention;
fig. 5 is a block diagram illustrating a structure of a calling device for modeling intermediate data according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In an embodiment of the present invention, a method for calling modeling intermediate data is provided, and as shown in fig. 1, the method includes:
step 102: setting a code for each modeling scheme, and setting a unique name in each modeling scheme for each intermediate data of the modeling scheme;
step 104: storing intermediate data of different modeling schemes separately;
step 106: the intermediate data is invoked using the encoding of the modeling scheme and the name of the intermediate data.
As can be seen from the flow shown in fig. 1, in the embodiment of the present invention, it is proposed to set a code for a modeling scheme, set a unique name in the modeling scheme for each intermediate data of the modeling scheme, so that the name of the intermediate data in each modeling scheme is not duplicated and is unique, then store the intermediate data of different modeling schemes separately, and then call the intermediate data by using the code of the modeling scheme and the name of the intermediate data. Compared with the mode of calling the intermediate data based on the identification code of the intermediate data in the prior art, the method and the device for calling the intermediate data can avoid or reduce the condition of calling confusion, are favorable for improving the calling accuracy and improving the model training effect.
In specific implementation, the intermediate data may be intermediate data in an AI model modeling process, the AI model is a data structure summarized according to training data, and new data can be predicted based on the data structure to determine target classification or value.
In specific implementation, the inventors of the present application found that the characteristics of the intermediate data are as follows: for intermediate data generated by different modeling schemes, data names can be repeated, but the intermediate data names under the same modeling scheme cannot be repeated, so that the intermediate data required by modeling training can be accurately called, and meanwhile, the problems of data isolation, data safety and the like are also considered, so that the intermediate data of different modeling schemes are separately stored. In particular, the intermediate data generated by the modeling process is stored under canonical paths, which may be specific to the modeling solutions, e.g., the storage path for the intermediate data for each modeling solution includes an encoding of that modeling solution.
In specific implementation, the functions of storing intermediate data and calling the intermediate data in the method for calling modeling intermediate data may be implemented by a function module, for example, as shown in fig. 2, the function of storing intermediate data may be implemented by an intermediate data storage module to obtain an intermediate data set; and the function of calling the intermediate data from the intermediate data set is realized through the intermediate data calling module.
In specific implementation, an example of implementing the intermediate data storage function by the intermediate data storage module may include data information shown in table 1 below:
TABLE 1
In specific implementation, in order to realize visualization of data and facilitate data management, in this embodiment, an intermediate data management page may be further configured to display intermediate data of each modeling scheme;
and receiving an operation instruction, and operating the intermediate data of each modeling scheme according to the operation instruction. Specifically, the operation instruction may be an instruction to delete data, clean data, and maintain authority information and management information of the intermediate data.
Specifically, a user (e.g., a modeler) may preview intermediate data generated in the modeling process on the intermediate data management page to ensure that the intermediate data meets the model training standard, and the user may also perform a deletion operation on unsatisfactory intermediate data, as shown in fig. 2, where the data management function may be implemented by the data set management module.
In specific implementation, an example of the data set management module implementing the data management function may include data information as shown in table 2 below:
TABLE 2
In specific implementation, the modeled user may also be managed, for example, in this embodiment, a user management page is set to manage the login user and maintain the customer information. Specifically, as shown in fig. 2, the functions of user management such as maintaining user information and verifying login information may be implemented by a user management module, and the user management module supports integration with external single sign-on. Specifically, the user management module needs a relational database to store the user, the authority, the data management related information, and the like, and needs a distributed cache to store the session information of the currently logged-in user.
In specific implementation, examples of the user management module implementing the user management function may include data information shown in tables 3 and 4 below:
TABLE 3
TABLE 4
In particular, in order to conveniently store the generated intermediate data and call the generated intermediate data in the modeling code, in the present embodiment, a storage interface for storing the intermediate data and a storage interface for calling the intermediate data are provided based on an SDK (Software Development Kit). The SDK is used as a mode for introducing modeling intermediate data, a uniform SDK access mode is provided for heterogeneous intermediate data storage addresses, the access difference of the heterogeneous intermediate data storage addresses in the AI modeling process is shielded for users (modeling personnel), a uniform access control mechanism is provided, and the users (modeling personnel) do not need to pay attention to data sources and do not need to make independent adaptation.
In specific implementation, the storage interface for storing the intermediate data and the storage interface for calling the intermediate data may be defined as follows:
in specific implementation, as shown in fig. 3, the process of implementing the method for calling modeling intermediate data includes the following steps:
1. and aiming at the part for receiving the user request, the RestFul access layer is used as a uniform inlet of an external request, and the storage interface for storing the intermediate data and the storage interface for calling the intermediate data call the RestFul interface to store and call the intermediate data.
2. Aiming at the user management part, when a new user requests, firstly, a user name and a password are required to be input for logging in, and the user can perform subsequent data set related operation after logging in successfully.
Based on the user management page, the following user management functions can be realized: the login of the current user can be verified, the login of the current user can also be integrated with the single sign-on of a third party, and when a new third party user passes the verification and logs in, a globally unique number of the user can be automatically created and recorded in the user table. And after the user logs in successfully, storing the current user login information, and verifying that the current user logs in each subsequent request operation aiming at the data set.
3. For the data operation part, the logged-in user can perform data preview, maintenance, storage, calling, deleting and other operations on the intermediate data based on the intermediate data management page:
data preview: the user can preview the intermediate data which the user has the right to access, and the user can not only see the name, the description, the generation time and other information of the intermediate data, but also see the detailed information of the intermediate data through a preview function, such as the content of each column or each row or the content of pictures. This function currently supports the preview of text data, structured data, picture data.
Data maintenance: the management information (such as the description of the intermediate data, the cleaning strategy and the like) and the authority information of the intermediate data are mainly maintained.
Data storage: the user can store intermediate data generated in the execution process of the training modeling scheme by triggering the storage function, and the stored intermediate data is generally provided for data preprocessing and data feature engineering to achieve a better effect of the model in the subsequent modeling training.
Data calling: the user may invoke the previously generated intermediate data in the course of the execution of the modeling solution by triggering an invocation function.
And (3) deleting data: the user can delete the intermediate data which the user has the right to access, for example, previewing the intermediate data after the characteristic project, and if the intermediate data is found not to be the desired data or can be optimized, the intermediate data can be immediately deleted, the characteristic project is run again, and the intermediate data with higher quality is generated.
4. For the data cleaning function, statistical management is performed on the size occupied by the intermediate data according to a specified period, and data files exceeding a predetermined size are cleaned according to a cleaning policy (such as retention time or retention size). The function is to regularly clean the intermediate data satisfied by the user, and the data not satisfied by the user can be deleted by using the data deleting function.
5. For data rights management/verification: the data set owner can make an access right policy for the data set, and the data right checking function can check whether the current user has access right to a certain data set according to the policy.
Access rights are of type 2:
the project sharing is specified, users in the project can access the project, and other users cannot access the project;
fully disclosed, all accessible.
In this embodiment, a computer device is provided, as shown in fig. 4, and includes a memory 402, a processor 404, and a computer program stored on the memory and executable on the processor, and the processor implements any of the above-mentioned methods for invoking modeling intermediate data when executing the computer program.
In particular, the computer device may be a computer terminal, a server or a similar computing device.
In the present embodiment, there is provided a computer-readable storage medium storing a computer program for executing the method for calling modeling intermediate data as described above.
In particular, computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer-readable storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
Based on the same inventive concept, the embodiment of the present invention further provides a device for calling modeling intermediate data, as described in the following embodiments. Because the principle of solving the problem of the calling device of the modeling intermediate data is similar to the calling method of the modeling intermediate data, the implementation of the calling device of the modeling intermediate data can refer to the implementation of the calling method of the modeling intermediate data, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram of an architecture of a calling apparatus for modeling intermediate data according to an embodiment of the present invention, as shown in fig. 5, the apparatus includes:
a setting module 502, configured to set a code for each modeling scheme, and set a unique name in the modeling scheme for each intermediate data of the modeling scheme;
a storage module 504 for storing intermediate data of different modeling solutions separately;
a calling module 506 for calling the intermediate data by using the encoding of the modeling scheme and the name of the intermediate data.
In one embodiment, the above apparatus further comprises:
and the interface module is used for providing an interface for receiving the instruction for storing the intermediate data and an interface for receiving and calling the intermediate data instruction based on the SDK.
In one embodiment, the above apparatus further comprises:
the data set management module is used for setting an intermediate data management page to display intermediate data of each modeling scheme; and receiving an operation instruction, and operating the intermediate data of each modeling scheme according to the operation instruction.
In one embodiment, the above apparatus further comprises:
and the user management module is used for setting a user management page to manage the login user and maintain the client information.
The embodiment of the invention realizes the following technical effects: the method comprises the steps of setting codes for modeling schemes, setting unique names in the modeling schemes for each piece of intermediate data of the modeling schemes, storing the intermediate data of different modeling schemes separately, and calling the intermediate data by adopting the codes of the modeling schemes and the names of the intermediate data. Compared with the mode of calling the intermediate data based on the identification code of the intermediate data in the prior art, the method and the device for calling the intermediate data can avoid or reduce the condition of calling confusion, are favorable for improving the calling accuracy and improving the model training effect.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A calling method for modeling intermediate data is characterized by comprising the following steps:
setting a code for each modeling scheme, and setting a unique name in each modeling scheme for each intermediate data of the modeling scheme;
storing intermediate data of different modeling schemes separately;
the intermediate data is invoked using the encoding of the modeling scheme and the name of the intermediate data.
2. The method for calling modeling intermediate data according to claim 1, wherein storing intermediate data for different modeling solutions separately comprises:
the storage path of the intermediate data for each modeling solution includes an encoding of that modeling solution.
3. The calling method for modeling intermediate data according to claim 1, further comprising:
and providing a storage interface for storing the intermediate data and a storage interface for calling the intermediate data based on the SDK.
4. A calling method for modelling intermediate data according to any one of claims 1 to 3 further comprising:
setting an intermediate data management page to display intermediate data of each modeling scheme;
and receiving an operation instruction, and operating the intermediate data of each modeling scheme according to the operation instruction.
5. The calling method for modeling intermediate data according to claim 4, further comprising:
a user management page is provided to manage logged-in users and maintain customer information.
6. An apparatus for invoking modeling intermediate data, comprising:
the setting module is used for setting codes for each modeling scheme and setting a unique name in the modeling scheme for each intermediate data of the modeling scheme;
the storage module is used for separately storing the intermediate data of different modeling schemes;
and the calling module is used for calling the intermediate data by adopting the codes of the modeling scheme and the names of the intermediate data.
7. The apparatus for invoking intermediate modeling data according to claim 6, further comprising:
and the interface module is used for providing an interface for receiving the instruction for storing the intermediate data and an interface for receiving and calling the intermediate data instruction based on the SDK.
8. Calling device of modelling intermediate data according to claim 6 or 7, characterised in that it further comprises:
the data set management module is used for setting an intermediate data management page to display intermediate data of each modeling scheme; and receiving an operation instruction, and operating the intermediate data of each modeling scheme according to the operation instruction.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of calling modeling intermediate data of any of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium characterized in that the computer-readable storage medium stores a computer program that executes the calling method of modeling intermediate data according to any one of claims 1 to 5.
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