Algorithm debugging method, client, background server and system

Abstract

An embodiment of the present invention provides an algorithm debugging method, a client, a background server, and a system. The method includes: the client acquires at least one debugging parameter item that can be adjusted by the target algorithm; draws a display interface, and at least displays all the parameters on the display interface. the debugging parameter item; determine the parameter value of the debugging parameter item modified through the display interface; determine the target parameter value of each debugging parameter item according to the parameter value of the debugging parameter item after modifying the parameter value; according to the parameter value of each debugging parameter item The target parameter value constructs algorithm debugging task data; submits the algorithm debugging task data to the background server, so as to obtain the execution result of the algorithm debugging task data fed back by the background server. The embodiment of the present invention can realize simple and efficient algorithm debugging.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to an algorithm debugging method, a client, a background server and a system. Background technique [0002] As the core of artificial intelligence, machine learning algorithms are more and more widely used; the execution of machine learning algorithms is mainly divided into algorithm training and result model prediction. Algorithm training refers to the use of machine learning algorithms to train training data sources to obtain result models. The result model can often achieve a specific function; the result model prediction refers to the process of predicting the accuracy and other effects of the result model through the prediction data source used in the prediction. [0003] In order to optimize and improve the effect of the result model, after the result model is obtained through algorithm training, it is often necessary to debug the algorithm according to the prediction ...

AI Technical Summary

Problems solved by technology

[0004] The current algorithm debugging method is mainly to locate the modifiable debugging parameters of the algorithm in the algorithm code, and then modify the debugging parameters in the algorithm code correspondingly each time the algorithm is debugged, so as to judge the result of each debugging parameter adjustment The effect of the model, select the debugging parameters with the best effect of the result model, and realize the debugging of the algorithm; lower question

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