Thu Sep 21 14:16:08 2023

faces_classify_pca():
  Python version: 3.8.10
  scikit-learn version: 1.3.0
  Match a face to an item in the faces dataset.
  Use principal component analysis (PCA).

  Generate the dataset
 
  X_train_pca.shape =  (1547, 100)

  Test set using 1 neighbor KNN on PCA data 0.29651162790697677

  pca.components_.shape: (100, 5655)
  Graphics saved as 'pca_components.png'
  Graphics saved as 'pca_reconstruction.png'
  Graphics saved as 'pca_scatter.png'

faces_classify_pca():
  Normal end of execution.
Thu Sep 21 14:16:14 2023