Method, device and equipment for executing automatic machine learning process

Abstract

The invention provides a method, a device and equipment for executing an automatic machine learning process. The method comprises the following steps: providing a model training operator and a model prediction operator which are independent of each other; training a machine learning model by using the model training operator based on training data; and providing a prediction service for predictiondata by using the model prediction operator and the trained machine learning model.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, and more specifically, to a method for performing an automatic machine learning process, a device for performing an automatic machine learning process, a device including at least one computing device and at least one storage device, and a computer readable storage medium. Background technique [0002] With the rapid development and application of machine learning technology, automatic machine learning technology has greatly reduced the threshold of machine learning and saved the labor cost of machine learning. However, the functions of existing automatic machine learning tools are too simple and one-sided, and cannot cover the entire process of machine learning model construction and application, that is, they can only complete how to train a machine learning model based on accumulated historical data, but cannot effectively realize machine The subsequent production and applicatio...

AI Technical Summary

Problems solved by technology

However, the functions of existing automatic machine learning tools are too simple and one-sided, and cannot cover the entire process of machine learning model construction and application, that is, they can only complete how to train a machine learning model based on accumulated historical data, but cannot effectively implement The subsequent production and application of the learning model (for example, it is difficult to use the machine learning model to provide online services), in other words, there is a severe separation between the modeling scheme or results and the model application process in the existing technology; moreover, it does not have the user The friendly interaction method still requires users to have a certain programming foundation before it can be used, and it has not achieved a real low threshold

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