def vis_test():
nn = NNDist()
epoch = 1000
record_period = 4
make_mp4 = True
timing = Timing(enabled=True)
timing_level = 1
x, y = DataUtil.gen_spiral(50, 3, 3, 2.5)
nn.build([x.shape[1], 6, 6, 6, y.shape[1]])
nn.optimizer = "Adam"
nn.preview()
nn.feed_timing(timing)
nn.fit(x,
y,
verbose=1,
record_period=record_period,
epoch=epoch,
train_only=True,
draw_detailed_network=True,
make_mp4=make_mp4,
show_animation=True)
nn.draw_results()
timing.show_timing_log(timing_level)
if __name__ == '__main__':
#myMat = np.mat(loadExData2())
myMat = np.mat(np.random.randint(0, high=5, size=(1000, 1000)))
N = 3
percentage = 0.8
recommandList = recommandStand(myMat, user=4, topN=N)
U, Sigma, V = la.svd(myMat)
k = svdPercentage(Sigma, percentage)
sigK = np.mat(np.eye(k) * Sigma[:k])
transforedMat = myMat.T * U[:, :k] * sigK.I
recommandList = recommandSvd(myMat, transforedMat, user=2, topN=N)
print("Top:%d" % N)
print(recommandList)
Timing.show_timing_log()
"""
Top:3
[(996, 2.5392431018339123), (993, 2.5394899191345037), (978, 2.5379055263547703)]
==============================================================================================================
Timing log
--------------------------------------------------------------------------------------------------------------
[Method] svdEstimate : 24.99143 s (Call Time: 191)
[Method] recommandSvd : 24.99643 s (Call Time: 1)
[Method] standEstimate : 51.58395 s (Call Time: 205)
[Method] recommandStand : 51.59195 s (Call Time: 1)
--------------------------------------------------------------------------------------------------------------
"""
