run_ntf_demo_4th_order_2bases.py

#!/usr/bin/python
# -*- coding:utf-8 -*-
'''
Created on 2015/07/12

@author: drumichiro
'''
from ntf_demo_util import runNtfDemo


if __name__ == '__main__':
    # Generate samples as input data from Gaussians.
    mu = [[10, 10, 20, 20],
          [30, 30, 30, 30]]
    sigma = [[[5, 0, 0, 0],
              [0, 5, 0, 0],
              [0, 0, 5, 0],
              [0, 0, 0, 5]],
             [[5, 0, 0, 0],
              [0, 5, 0, 0],
              [0, 0, 5, 0],
              [0, 0, 0, 5]]]
    eachSampleNum = 100
    # It tends to be difficult to analyze
    #  a high rank tensor without initial value.
    runNtfDemo(mu, sigma, eachSampleNum)
    # Setting initial value may have a result to be better.
    runNtfDemo(mu, sigma, eachSampleNum, initialValueUsed=True)
    print("Done.")