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斯坦福大学自研的基于Java的数据挖掘软件,欢迎下载 A classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item. This software is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as softmax classifiers and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors).
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stanford-classifier-2018-10-16.rar (17个子文件)
stanford-classifier-2018-10-16
stanford-classifier-3.9.2.jar 3MB
srcmanifest.txt 93B
LICENSE.txt 18KB
stanford-classifier.jar 3MB
stanford-classifier-3.9.2-javadoc.jar 3.47MB
examples
cheeseDisease.train 32KB
iris.test 587B
cheeseDisease.test 3KB
iris.train 4KB
iris2007.prop 404B
cheese2007.prop 437B
README.txt 7KB
Makefile 454B
build.xml 6KB
ClassifierDemo.java 5KB
stanford-classifier-3.9.2-sources.jar 2.65MB
classmanifest.txt 152B
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