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[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

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ML之回归预测：机器学习中的各种Regression回归算法、关键步骤配图

机器学习中的各种回归算法1、回归算法代码2、各种回归算法(1)、线性回归：紫色；Logistic回归：绿色(2)、局部加权回归3、各种回归算法大PK

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更新时间 2024-03-04 11:06:19

本页面内关键词为智能算法引擎基于机器学习所生成，如有任何问题，可在页面下方点击"联系我们"与我们沟通。

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