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- import numpy as np
- class test_data:
- def __init__(self,n_samples,dim):
- class generate:
- def __init__(self,n_samples,dim):
- self.n_samples = n_samples
- self.dim = dim
- self.mu = 0.0
- self.sigma = 0.0
- def mu_sigma(self):
- self.mu = np.random.uniform(low=-2.0, high=2.0, size=self.dim)
- self.sigma = np.random.uniform(low=1.0, high=2.0, size=self.dim)
- self.n_samples = n_samples
- self.dim = dim
- self.generate = generate(n_samples,dim)
- self.generate.mu_sigma()
- self.mu = self.generate.mu
- self.sigma = self.generate.sigma
- data=test_data(n_samples=10,dim=2)
- print(data.generate.mu)
- print(data.mu)
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