logistics回归分析（Logistic Regression）

时间2025-05-02 08:30:43分类IT科技浏览3896

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:

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