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Hi, I have couple questions
- Is each column of the input data matrix one sample? and it has more features than samples? i.e. 20000x20 matrix (20000 features, 20 samples). The eigenvectors is size (20000,20), eigenvalues is s**2, size (20,)?
- What is the input
w, X,in here?
def reconstruct(w, X, m,dim = 5):
return np.dot(w[:dim],X[:dim,:]) + m
- What is def compute_projections(I,pcs,m): doing?
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