Fixed errors due to old torch.eig function being removed + refactoring and add iris dataset #6
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Richienb
suggested changes
Nov 26, 2024
| H = torch.log(sumP) + beta * torch.sum(D * P) / sumP | ||
| P = P / sumP | ||
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| P = (-D).exp() * beta |
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Fix breaking change
Suggested change
| P = (-D).exp() * beta | |
| P = (-D * beta).exp() |
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| def x2p_torch(X, tol=1e-5, perplexity=30.0): | ||
| def x2p_torch(X:torch.FloatTensor, tol=1e-5, perplexity=30.0, verbose=False): |
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Suggested change
| def x2p_torch(X:torch.FloatTensor, tol=1e-5, perplexity=30.0, verbose=False): | |
| def x2p_torch(X: torch.FloatTensor, tol=1e-5, perplexity=30.0, verbose=False): |
Richienb
reviewed
Nov 27, 2024
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| def tsne(X, no_dims=2, initial_dims=50, perplexity=30.0): | ||
| def pca_torch(X, k=50, device="cuda"): |
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Suggested change
| def pca_torch(X, k=50, device="cuda"): | |
| def pca_torch(X, k=50): |
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