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Mar 30th, 2017
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  1. import numpy as np
  2. class test_data:
  3. def __init__(self,n_samples,dim):
  4. class generate:
  5. def __init__(self,n_samples,dim):
  6. self.n_samples = n_samples
  7. self.dim = dim
  8. self.mu = 0.0
  9. self.sigma = 0.0
  10.  
  11. def mu_sigma(self):
  12. self.mu = np.random.uniform(low=-2.0, high=2.0, size=self.dim)
  13. self.sigma = np.random.uniform(low=1.0, high=2.0, size=self.dim)
  14.  
  15. self.n_samples = n_samples
  16. self.dim = dim
  17. self.generate = generate(n_samples,dim)
  18. self.generate.mu_sigma()
  19. self.mu = self.generate.mu
  20. self.sigma = self.generate.sigma
  21.  
  22. data=test_data(n_samples=10,dim=2)
  23. print(data.generate.mu)
  24. print(data.mu)
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