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author | Christian C <cc@localhost> | 2024-11-11 12:29:32 -0800 |
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committer | Christian C <cc@localhost> | 2024-11-11 12:29:32 -0800 |
commit | b85ee9d64a536937912544c7bbd5b98b635b7e8d (patch) | |
tree | cef7bc17d7b29f40fc6b1867d0ce0a742d5583d0 /code/sunlab/common/distribution/gaussian_distribution.py |
Initial commit
Diffstat (limited to 'code/sunlab/common/distribution/gaussian_distribution.py')
-rw-r--r-- | code/sunlab/common/distribution/gaussian_distribution.py | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/code/sunlab/common/distribution/gaussian_distribution.py b/code/sunlab/common/distribution/gaussian_distribution.py new file mode 100644 index 0000000..e478ab6 --- /dev/null +++ b/code/sunlab/common/distribution/gaussian_distribution.py @@ -0,0 +1,23 @@ +from .adversarial_distribution import * + + +class GaussianDistribution(AdversarialDistribution): + """# Gaussian Distribution""" + + def __init__(self, N): + """# Gaussian Distribution Initialization + + Initializes the name and dimensions""" + super().__init__(N) + self.full_name = f"{N}-Dimensional Gaussian Distribution" + self.name = "G" + + def __call__(self, *args): + """# Magic method when calling the distribution + + This method is going to be called when you use gauss(N1,...,Nm)""" + import numpy as np + + return np.random.multivariate_normal( + mean=np.zeros(self.dims), cov=np.eye(self.dims), size=[*args] + ) |