350497c72606f188f83b68588140f0058190559b,GPy/examples/dimensionality_reduction.py,,mrd_simulation,#Any#,102
 
Before Change
    Y3 -= Y3.mean(0)
    Y1 /= Y1.std(0)
    Y2 /= Y2.std(0)
    Y3 /= Y3.std(0)
    Slist = [s1, s2, sS]
    Ylist = [Y1, Y2]
After Change
    m = mrd.MRD(*Ylist, Q=Q, M=M, kernel=k, initx="concat", _debug=False)
    m.ensure_default_constraints()
    for i, Y in enumerate(Ylist):
        m.set("{}_noise".format(i + 1), Y.var() / 100.)
//     import ipdb;ipdb.set_trace()
    cstr = "variance"
    m.unconstrain(cstr); m.constrain_bounded(cstr, 1e-15, 1.)
//     print "initializing beta"

In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
 Project Name: SheffieldML/GPy
 Commit Name: 350497c72606f188f83b68588140f0058190559b
 Time: 2013-04-16
 Author: ibinbei@gmail.com
 File Name: GPy/examples/dimensionality_reduction.py
 Class Name: 
 Method Name: mrd_simulation
 Project Name: NifTK/NiftyNet
 Commit Name: 03e8525394683bb5da7668330cd910c87c7d4501
 Time: 2017-04-03
 Author: l.fidon@ucl.ac.uk
 File Name: data_augmentation.py
 Class Name: 
 Method Name: rand_intensity_normalisation
 Project Name: nilmtk/nilmtk
 Commit Name: 9ce99b87ced85d30b755c4bf8e94b1d592b963bd
 Time: 2014-07-10
 Author: jack-list@xlk.org.uk
 File Name: nilmtk/metrics.py
 Class Name: 
 Method Name: rms_error_power