Method and device for achieving model training, and computer storage medium

Abstract

The invention discloses a method and a device for realizing model training, and a computer storage medium, and belongs to the field of machine learning. When the machine learning model is deteriorated, the analysis equipment firstly obtains validity information of a first feature set, the first feature set comprises a plurality of features used for training to obtain the machine learning model, and the validity information comprises a validity score of each feature in the first feature set; the validity score of the feature is negatively correlated with the correlation between the feature andother features in the first feature set; failure features in the first feature set is determined based on the validity information; and finally,a second feature set which does not include the failurefeatures is generated, wherein the second feature set is used for retraining the machine learning model. According to the method, the failure features in the feature set are determined according to the validity scores of the features calculated on the basis of the correlation between the features, sample data does not need to be labeled, the updating efficiency of the feature set is improved, andthe model training efficiency is also improved.

Description

technical field [0001] The present application relates to the field of machine learning, in particular to a method and device for implementing model training, and a computer storage medium. Background technique [0002] Machine learning refers to allowing machines to train machine learning models based on training samples, so that the machine learning models have category prediction capabilities for data other than training samples. In the specific practical tasks of machine learning, it is very important to select a set of representative features to form a feature set to build a machine learning model. When performing feature selection, labeled sample data is usually used to select feature sets that are strongly correlated with categories to train machine learning models. Among them, the label is used to identify the category of the sample data. [0003] After the machine learning model deteriorates, the machine learning model needs to be retrained to ensure the performan...

AI Technical Summary

Problems solved by technology

[0005] This application provides a method and device for implementing model training, and a computer storage medium, which can solve the problem of low efficiency of current model training

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