Python Model Exemples

Exemple #1

	def __init__(self, Ndim):
		self.D1 = 1. / np.random.rand(Ndim)
		self.D2 = 1. / np.random.rand(Ndim)
		self.D3 = 1. / np.random.rand(Ndim)
		self.M1 = 2.*np.random.rand(Ndim) - 2.
		self.M2 = 2.*np.random.rand(Ndim) 
		self.M3 = 2.*np.random.rand(Ndim) -1.
		Model.__init__(self, Ndim, None)

Exemple #2

Fichier : lighthouse.py Projet : mfouesneau/Nested_Sampling

	def __init__(self):
		D = np.array([ 4.73,  0.45, -1.73,  1.09,  2.19,  0.12,
			1.31,  1.00,  1.32,  1.07,  0.86, -0.49, -2.59,  1.73,  2.11,
			1.61,  4.98,  1.71,  2.23,-57.20,  0.96,  1.25, -1.56,  2.45,
			1.19,  2.17,-10.66,  1.91, -4.16,  1.92,  0.10,  1.98, -2.51,
			5.55, -0.47,  1.91,  0.95, -0.78, -0.84,  1.72, -0.01,  1.48,
			2.70,  1.21,  4.41, -4.79,  1.33,  0.81,  0.20,  1.58,  1.29,
			16.19,  2.75, -2.38, -1.79,  6.50,-18.53,  0.72,  0.94,  3.64,
			1.94, -0.11,  1.57,  0.57])

		Model.__init__(self, 2, D)

Exemple #3

    def __init__(self):
        D = np.array([
            4.73, 0.45, -1.73, 1.09, 2.19, 0.12, 1.31, 1.00, 1.32, 1.07, 0.86,
            -0.49, -2.59, 1.73, 2.11, 1.61, 4.98, 1.71, 2.23, -57.20, 0.96,
            1.25, -1.56, 2.45, 1.19, 2.17, -10.66, 1.91, -4.16, 1.92, 0.10,
            1.98, -2.51, 5.55, -0.47, 1.91, 0.95, -0.78, -0.84, 1.72, -0.01,
            1.48, 2.70, 1.21, 4.41, -4.79, 1.33, 0.81, 0.20, 1.58, 1.29, 16.19,
            2.75, -2.38, -1.79, 6.50, -18.53, 0.72, 0.94, 3.64, 1.94, -0.11,
            1.57, 0.57
        ])

        Model.__init__(self, 2, D)

Exemple #4

Fichier : gauss.py Projet : mfouesneau/Nested_Sampling

	def __init__(self, Ndim):
		D = 1. / np.random.rand(Ndim)
		Model.__init__(self, Ndim, D)

Exemple #5

 def __init__(self, Ndim):
     D = 1. / np.random.rand(Ndim)
     Model.__init__(self, Ndim, D)