Distributed artificial intelligence application development system and method

Abstract

The invention discloses a distributed artificial intelligence application development system and method. The system comprises a feature engineering module which is used for processing the preprocesseddata through feature data conversion; a machine learning module which is used for receiving the data processed by the feature engineering module, and analyzing and processing the model by using machine learning, and comprises a model training module, a model prediction module and a model evaluation module, wherein the model training module is used for checking the quasi-removability of the original data through the training of the model, and determining the data source and the use model for the model prediction; the model prediction module, which is used for predicting the test data by the trained model; the model evaluation module is used for evaluating the model effect by using the test data through the model generated by the training set. The invention not only realizes the data acquisition across databases and platforms, but also interacts with the Hadoop cluster on the Web control table of the browser end to analyze and process the data.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a system and method for distributed artificial intelligence application development. Background technique [0002] Traditional machine learning still mainly uses linear models in the field of predictive learning, and regression is still the main method in quantitative trading, such as predicting the stock price of a stock at a certain point in time. The volume is getting bigger and bigger. Since the financial industry, the demand for machine learning to improve its own business capabilities has also been increasing, such as financial forecasting, anti-fraud, credit financing, investment decision-making, auxiliary decision-making, insurance pricing, and smart investment. The industry is no longer satisfied with using machine learning to make predictions, but needs to use machine learning to obtain more professional data such as providing countermeasures, ma...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned technical problems in related technologies, the present invention proposes a system and method for distributed artificial intelligence application development, which can solve the problem that traditional machine learning in existing industries has simple functions and single structure, and cannot meet the needs of industry informatization development. technical problem

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