Machine learning algorithm selection method and distributed computing system

Abstract

The embodiment of the invention relates to a machine learning algorithm selection method and a distributed computing system, and the method comprises the steps that a Master node determines N available target computing nodes from a plurality of computing nodes after receiving a machine learning algorithm selection task, and sends machine learning model training tasks corresponding to different machine learning algorithms to the N target computing nodes; each target computing node executes the received machine learning model training task, determines a model evaluation index value of a machine learning model obtained by training, and sends the model evaluation index value to the Master node; and the Master node displays an execution result of the machine learning algorithm selection task according to the received model evaluation index value. Therefore, a plurality of computing nodes can execute different machine learning model training tasks in parallel, so that the time spent by a user in selecting a machine learning algorithm is saved.

Description

Technical field [0001] Embodiments of the present invention relate to the field of machine learning techniques, and more particularly to a machine learning algorithm selection method, a distributed computing system. Background technique [0002] In recent years, with the rapid development of artificial intelligence technology, its technical achievements have been applied to multiple fields, such as the application of artificial intelligence technology, through the engineering station of unmanned check-in, through the image Detecting drones to implement the car, realize speech recognition and translation through the natural language processing algorithm. Based on this, more and more users are dedicated to data mining and modeling of machine learning models. [0003] The key to using manual intelligence technology for data mining and machine learning model modeling is to select a suitable machine learning algorithm to achieve classification, regression, clustering, etc. of data, an...

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Problems solved by technology

[0004] In view of this, in order to solve the technical problem of how to quickly select an appropriate machine learning algorithm from a variety of machine learning algorithms, an embodiment of the present invention provides a machine learning algorithm selection method and a distributed computing system

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