logistics回归分析（Logistic Regression）
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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