AutoIntent：面向文本分类的自动机器学习

摘要

AutoIntent是一款专为文本分类任务设计的自动化机器学习工具。与现有解决方案不同，AutoIntent提供了端到端的自动化流程，包括嵌入模型选择、分类器优化及决策阈值调优，所有这些功能都集成在一个类似sklearn的模块化接口中。该框架旨在支持多标签分类和范围外检测任务。在标准意图分类数据集上，AutoIntent展现出优于现有AutoML工具的性能，并帮助用户在效果与资源消耗之间实现平衡。

English

AutoIntent is an automated machine learning tool for text classification tasks. Unlike existing solutions, AutoIntent offers end-to-end automation with embedding model selection, classifier optimization, and decision threshold tuning, all within a modular, sklearn-like interface. The framework is designed to support multi-label classification and out-of-scope detection. AutoIntent demonstrates superior performance compared to existing AutoML tools on standard intent classification datasets and enables users to balance effectiveness and resource consumption.

AutoIntent：面向文本分类的自动机器学习

AutoIntent: AutoML for Text Classification

摘要

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