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Davisy/explained_variance_ratio.py

Created April 26, 2020 15:33
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explained_variance_ratio.py
from sklearn.decomposition import PCA
pca = PCA(random_state=42)
# train
pca.fit(X_train)
# Plots PCA components' explained variance ratios.
skplt.decomposition.plot_pca_component_variance(pca, figsize=(10, 8))
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