Parameter optimization method for classification model, device, computer equipment and storage medium
A technology of classification model and optimization method, which is applied in computer parts, calculation, character and pattern recognition, etc., can solve problems such as the inability to improve the usability of the classification model, increase the time complexity of the classification model, and high threshold
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Embodiment 1
[0028] figure 1 It is a schematic flowchart of a parameter optimization method for a classification model provided in Embodiment 1 of the present invention. This method is suitable for optimizing the construction parameters required for the construction of the classification model. The method can be executed by a parameter optimization device for the classification model, wherein The device can be implemented by software and / or hardware, and is generally integrated on computer equipment.
[0029] It should be noted that the application background of this embodiment may be: using a classification model to predict the churn of consumer users in the e-commerce platform. Generally, the classification model usually needs to be constructed with given construction parameters, and then the constructed classification model can be trained and learned with given training samples, and finally a practically applicable classification model can be obtained.
[0030] Therefore, before using ...
Embodiment 2
[0046] figure 2 It is a schematic flowchart of a parameter optimization method for a classification model provided in Embodiment 2 of the present invention. Embodiment 2 of the present invention is optimized on the basis of the above-mentioned embodiments. In this embodiment, the component values in the parameter correlation vectors and the moving speeds corresponding to the component values are further initialized, specifically It is: randomly select a numerical value within the set first value range as the initial component value of each dimension in each parameter-related vector; randomly select a numerical value within the set second value range as the initial value of each said component value corresponding movement speed.
[0047] At the same time, each of the initial parameter related vectors will be updated iteratively according to the set update strategy to obtain a globally optimal target parameter related vector, which is further embodied as: using each of the...
Embodiment 3
[0103] image 3 A structural block diagram of a device for optimizing parameters of a classification model provided in Embodiment 3 of the present invention. The device is suitable for optimizing the construction parameters required for the construction of the classification model, the device can be realized by software and / or hardware, and is generally integrated on computer equipment. Such as image 3 As shown, the device includes: a parameter vector construction module 31 , a parameter vector initial module 32 , a target vector determination module 33 and an optimal parameter determination module 34 .
[0104] Wherein, the parameter vector construction module 31 is used to determine the number of parameters of the construction parameters in the classification model to be constructed, and generates a parameter correlation vector whose dimension of the set number is the number of parameters;
[0105] A parameter vector initialization module 32, configured to initialize each...
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