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样条曲线、决策树、Adaboost、梯度提升(GBM)算法进行回归、分类和动态可视化

Boosting算法是一种把若干个分类器整合为一个分类器的方法，也就是一种集成分类方法（Ensemble Method）。计量经济学的视角可以从计量经济学的角度理解提升方法（Boosting）的内容。这里的目标是要解决： ...

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[帮助文档] 什么是PS-SMART二分类训练算法组件

参数服务器PS（Parameter Server）致力于解决大规模的离线及在线训练任务，SMART（Scalable Multiple Additive Regression Tree）是GBDT（Gradient Boosting Decision Tree）基于PS实现的迭代算法。PS-SMAR...

[帮助文档] 什么是GBDT二分类预测V2算法组件

GBDT二分类预测V2组件提供了针对GBDT二分类V2组件的预测功能，使用梯度提升决策树 (Gradient Boosting Decision Trees) 算法，对数据进行二分类问题的预测。本文介绍GBDT二分类预测V2组件的配置方法。

[帮助文档] 什么是视频分类训练算法组件

针对原始视频数据，您可以使用视频分类训练算法组件对其进行模型训练，从而获得用于推理的视频分类模型。本文介绍视频分类训练算法组件的配置方法及使用示例。

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更新时间 2024-04-30 18:15:43

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