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Implementing a semi supervised learning algorithm using SVM as base classifier
This project forked from raghavan/semi-supervised-learning
Implementing a semi supervised learning algorithm using SVM as base classifier
Building a semi supervised learning algorithm which takes in 10% of the instances with labels, The base classification algorithm is SVM. To run the program place the feature vector file in the sklearn_mode/files/. cd sklearn_model/python run python datamodeller <trainingfile> <testingfile> <traininglabel>
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