Algorithm model detection method, apparatus, device and system
An algorithm model and model technology, applied in the Internet field, can solve problems such as the inability to accurately detect the correct rate and/or error rate of the algorithm model, lack of algorithm model testing methods, etc., and achieve the effect of improving test accuracy and test speed
Active Publication Date: 2018-01-16
ZHEJIANG TMALL TECH CO LTD
View PDF2 Cites 3 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, the data actually processed by the algorithm model is not limited to the data in these two data sets. If the correct rate and / or error rate of the algorithm model processing preset data is used as the correct rate and / or Error rate, also unable to accurately detect the correct rate and / or error rate of the algorithm model
[0004] Therefore, prior art lacks a kind of testing method of both accurate and fast algorithmic model
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0057] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.
[0058] With the development of Internet technology, web pages have not only become a source for users to obtain information, but also a way for users to upload information and shop online, and there are more and more advertisements on web pages. Commodity, after receiving the product, the user will enter the evaluation information in the shopping webpage in order to evaluate the product, and som...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides an algorithm model detection method, apparatus, device and system. The system comprises an evaluation module used for evaluating to-be-evaluated information via an algorithm model, wherein the algorithm model comprises a to-be-measured algorithm model and a historical algorithm model, the historical algorithm model is a previous iteration model of the to-be-measured algorithm model; an algorithm model detection module used for detecting the accuracy of the to-be-measured algorithm model; and an algorithm model training module used for training the algorithm model according to a training sample set. By detecting the accuracy of the to-be-measured algorithm model for processing user evaluation information via a processing result of the user evaluation information by the historical algorithm model, the test accuracy of the algorithm model is improved, the algorithm model requires no manual test, and thus the test speed of the algorithm model is improved.
Description
technical field [0001] The present application relates to Internet technologies, and in particular to an algorithm model detection method and device. Background technique [0002] In the existing technology, the algorithm model is like the cognitive model of human beings, which needs to be constantly corrected and trained. Specifically, the algorithm model constantly changes its own parameters in the process of processing sample data, so that the algorithm model is constantly being updated. Iteration, however, if it is allowed to iterate continuously without testing the iterated algorithm model, it will not be possible to determine whether the iterated algorithm model can process the sample data according to the preset correct rate. [0003] In the prior art, there are two methods for testing the algorithm model: one is manual testing, for example, the algorithm model processes 100 sample data to obtain 100 results, and among the 100 results, there are correct results and so...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06F11/36
Inventor 倪静
Owner ZHEJIANG TMALL TECH CO LTD