Data processing method and device and storage medium

Abstract

The invention discloses a data processing method and device and a storage medium, and belongs to the field of data processing. The method comprises the following steps: selecting a sample data set corresponding to a target modeling type from a plurality of stored sample data sets; and then selecting at least one feature dimension from the plurality of feature dimensions, and selecting a target training model from a plurality of training models stored for the target modeling type; training the target training model according to the data of each sample in the selected sample data set on the atleast one feature dimension; and finally, according to a model obtained after training, determining an extended data set according to the target expansion multiple and the optimization target information. Due to the fact that when the target model needs to be trained, the target model can be directly selected from the multiple training models, an operator does not need to compile different codes for the multiple training models to achieve the target model, the training process is simplified, and then the process of determining the extended data set is more efficient.

Description

technical field [0001] The present application relates to the field of data processing, in particular to a data processing method, device and storage medium. Background technique [0002] Machine learning techniques are often used for some data mining. That is, train the model to be trained according to the acquired sample data set, and then mine other data according to the trained model. For example, in the field of marketing, the model to be trained can be trained according to the obtained marketing sample data set, and then some other data can be mined according to the trained model, so as to facilitate the formulation of marketing strategies. At present, the entire process of machine learning technology is mainly implemented by operators writing codes, that is, the entire process of implementing machine learning technology requires operators to have a certain coding foundation, which makes the entire process of machine learning technology more difficult. Contents of t...

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Problems solved by technology

[0003] The embodiment of the present application provides a data processing method, device, and storage medium, which can solve the problem that the entire process of implementing machine learning technology in related technologies requires operators to have a certain coding foundation, which makes it difficult to implement the entire process of machine learning technology The problem

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