scikit learn pca

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Estelle
24 Feb 2016
1import numpy as np
2from sklearn.decomposition import PCA
3
4pca = PCA(n_components = 3) # Choose number of components
5pca.fit(X) # fit on X_train if train/test split applied
6
7print(pca.explained_variance_ratio_)
Sofie
30 Nov 2020
1from sklearn.decomposition import KernelPCA
2kpca = KernelPCA(n_components = 2, kernel = 'rbf')
3X_train = kpca.fit_transform(X_train)
4X_test = kpca.transform(X_test)
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