This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.




Last released on Sep 11, 2013

implimention of apriori in python


Last released on Aug 26, 2013

implimention of decision tree use ID3 in python,and an easy use of it


Last released on Sep 11, 2013

implimention of fpGrowth in python


Last released on Aug 25, 2013

implimention of KNN in python


Last released on Aug 28, 2013

implimention of logistic regression in python,and a test of it


Last released on Aug 30, 2013

implimention of myAdaboost and ROC in python,and a test of it


Last released on Sep 5, 2013

implimention of kmeans in python,first implement a local minimum version,than use it to implement a global minimum one by choosing one of the best class to split the dataset into two classes if splitting is better


Last released on Aug 27, 2013

implimention of NaiveBayes in python,and two examples of easy application of it


Last released on Sep 2, 2013

implimention of regression in python,including standard version,lwlr version,ridge version,an implemention of greedy algorithm of regression and least squares weight version,and then use a function to find the best weight of ridgeTest calculated from 30 iteration


Last released on Aug 30, 2013

a simplfied version and a full version of implimention of svm using smo in python,and a test of linear and rbf


Last released on Sep 5, 2013

implimention of tree regression in python,and you can set the spilt methods in linear model to split or in constant model by changing the argument and a use for both conditons.Then use matplotlib and Tkinter,we can build the tree and change it by change its paramenter tolS and tolN

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