logistics回归分析（Logistic Regression）

时间2025-08-03 04:31:46分类IT科技浏览4951

导读：Logistic Regression This is an iterative machine learning algorithm that seeks to find the best hyperplane that separates two sets of points in a multi-dimens...

Logistic Regression

This is an iterative machine learning algorithm that seeks to find the best hyperplane that separates two sets of points in a multi-dimensional feature space. It can be used to classify messages into spam vs non-spam, for example. Because the algorithm applies the same MapReduce operation repeatedly to the same dataset, it benefits greatly from caching the input data in RAM across iterations.

Note that w gets shipped automatically to the cluster with every map call.

The graph below compares the performance of this Spark program against a Hadoop implementation on 30 GB of data on an 80-core cluster, showing the benefit of in-memory caching:

声明：本站所有文章，如无特殊说明或标注，均为本站原创发布。任何个人或组织，在未征得本站同意时，禁止复制、盗用、采集、发布本站内容到任何网站、书籍等各类媒体平台。如若本站内容侵犯了原著者的合法权益，可联系我们进行处理。