ApproxPCATorch

Oja and implicit Krasulina approaches to batched approximate top-k PCA estimation. See mnist_test.py for usage. Batch size, dimension, and k all heavily influence which method might be the best fit for a given application.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
mnist_kpca_components.png		mnist_kpca_components.png
mnist_kpca_reconstructions.png		mnist_kpca_reconstructions.png
mnist_kpca_reconstructions_errors.png		mnist_kpca_reconstructions_errors.png
mnist_test.py		mnist_test.py
pca_krasulina.py		pca_krasulina.py
pca_oja_exp.py		pca_oja_exp.py
pca_oja_naive.py		pca_oja_naive.py
pca_oja_rop.py		pca_oja_rop.py

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