Power Java by Mark Watson

Author:Mark Watson
Language: eng
Format: mobi
Publisher: Leanpub
Published: 2016-02-06T23:00:00+00:00

Once the training data and the values of (the varible mu in the code) are defined for each feature we can define the method train in lines 86 through 104 that calculated the best epsilon “cutoff” value for the training data set using the method train_helper defined in lines 138 through 165. We use the “best” epsilon value by testing with the separate cross validation data set; we do this by calling the method test that is defined in lines 167 through 198.

Example Using the University of Wisconsin Cancer Data

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