README.md~

DML
===

D's Machine Learning is a machine learning toolkit for python,focus on rightness but efficiency


all code is based on numpy and scipy

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Code Files
===

`./dml/NN` -the code of Neural NetWorks

`./dml/LR` -Logistic Regression,actualy It's softmax

`./dml/DT` -Decision Tree , CART algorithm

`./dml/ClUSTER` -some cluster algorithm,inculde kmeans\kmedoids\spectralCluster(todo)


`./dml/ADAB` -the adaboost algorithm

`./test/` -include some test code for DML

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Class Format
===
all class can be used in this way:(LR for example)

but there is still some different Initialization parameters in different class,also the predict function

sorry for this but some class use `pred()` and NN use `nnpred()`

    a = LRC(train_images,trian_labels,nor=False)
	a.train(200,True)
	pred = a.predict(test_images)
	

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Install
===
DML is based on `numpy`,`scipy`,you should install them first

This packages uses setuptools, which is the default way of installing python modules. The install command is:(sudo is required in some system)

	python setup.py build
	python setup.py install


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License
===
[WTFPL](http://www.wtfpl.net/)