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cydal/truncatedSVD.py

Created March 18, 2021 10:54
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truncatedSVD.py
from sklearn.decomposition import TruncatedSVD
for i in range(1100, 3000, 100):
lsa = TruncatedSVD(n_components=i, n_iter=10, random_state=42)
lsa.fit(x_transformed)
print("Num components - ", i, " ", lsa.explained_variance_ratio_.sum())
lsa = TruncatedSVD(n_components=2800, n_iter=10, random_state=42)
lsa.fit(x_transformed)
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