Georges Pantalos gpantalos

## numpy_gp.py
import matplotlib.pyplot as plt
import numpy as np

inv = np.linalg.inv


class GaussianProcess:
    def __init__(self, kernel, observed_index_points, observed_values,
                 mean_function=None, stddev=1.0, noise_var=0.0):
        self.observed_index_points = self._handle(observed_index_points)

## stein_identity.ipynb

      
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                gpantalos
                / stein_identity.ipynb
            
            
              Last active
              November 7, 2021 00:15
            
              
                Stein's Identity in Tensorflow
              
          
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## laplace_approximation.py
"""
Laplace approximation of a Beta distribution.
"""
import matplotlib.pyplot as plt
import torch

x = torch.linspace(0, 1, 200)
p = torch.distributions.Beta(2, 5)
	import matplotlib.pyplot as plt
	import numpy as np

	inv = np.linalg.inv


	class GaussianProcess:
	def __init__(self, kernel, observed_index_points, observed_values,
	mean_function=None, stddev=1.0, noise_var=0.0):
	self.observed_index_points = self._handle(observed_index_points)
	"""
	Laplace approximation of a Beta distribution.
	"""
	import matplotlib.pyplot as plt
	import torch

	x = torch.linspace(0, 1, 200)
	p = torch.distributions.Beta(2, 5)