TruncatedSVD

TruncatedSVD# class sklearn.decomposition.TruncatedSVD(n_components=2, *, algorithm='randomized', n_iter=5, n_oversamples=10, power_iteration_normalizer='auto', random_state=None, tol=0.0)[source]# Dimensionality reduction using truncated SVD (aka LSA). This transformer performs linear dimensionality reduction by means of truncated singular value decomposition (SVD). Contrary to PCA, this estimato

[teddy-g]

scikit-learnを使って特異値分解（SVD）。UとVはいいとして、Σはどうやって得るんだろ。