Method and device for realizing data classification based on machine learning model, and electronic equipment

• Main Authors: LIU LINGZHI, PENG XUEKUI, ZHONG HUI, LIU XIAOJIAN
• Format: Patent
• Language: Chinese; English
• Published: 01.04.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention relates to a method and device for achieving data classification based on a machine learning model and electronic equipment, the method is achieved through a field programmable logic gate array device, and the method comprises the steps that feature parameters to be input into the machine learning model are obtained, the machine learning model is used for classifying the feature parameters through reasoning, and the feature parameters are input into the field programmable logic gate array device; the machine learning model is divided into multiple stages of reasoning units, the multiple stages of reasoning units are stored in a random access memory of the field programmable gate array device, and each stage of reasoning unit comprises node information of the machine learning model; according to the multi-level reasoning units, the feature parameters are cached in a random access memory in a multi-level mode, the caching level of the feature parameters is the same as the number of the reasoning u