# printing Code kpca_rec Output Recipe Inputs: role #variables outcome 1 predictor 5 Operations: Polynomial kernel PCA extraction with X2, X3, X4, X5, X6 --- Code prep(kpca_rec) Output Recipe Inputs: role #variables outcome 1 predictor 5 Training data contained 100 data points and no missing data. Operations: Polynomial kernel PCA extraction with X2, X3, X4, X5, X6 [trained] # No kPCA comps Code pca_extract Output Recipe Inputs: role #variables outcome 1 predictor 5 Training data contained 100 data points and no missing data. Operations: Polynomial kernel PCA extraction with X2, X3, X4, X5, X6 [trained] # can prep recipes with no keep_original_cols Code kpca_trained <- prep(kpca_rec, training = tr_dat, verbose = FALSE) Condition Warning: 'keep_original_cols' was added to `step_kpca_poly()` after this recipe was created. Regenerate your recipe to avoid this warning. # empty printing Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Operations: Polynomial kernel PCA extraction with <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Polynomial kernel PCA extraction with <none> [trained]
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