Sci-kit Learn TruncatedSVD Explained_variance_ratio_ Not In Descending Order?

This question is actually a duplicate of this one, which however remains unanswered at the time of writing. Why is the explained_variance_ratio_ from TruncatedSVD not in descending

Solution 1:

If you scale the data first, then I think the explained variance ratios will be in descending order:

from sklearn.decomposition import TruncatedSVD
from sklearn.preprocessing import StandardScaler

n_components = 50
X_test = np.random.rand(50,100)

scaler = StandardScaler()
X_test = scaler.fit_transform(X_test)

model = TruncatedSVD(n_components=n_components, algorithm = 'randomized')
model.fit_transform(X_test)
model.explained_variance_ratio_