Closed gunnergalactico closed 2 years ago
Can you give us a little more info about the problems you are seeing? I believe this is as intended. Notice that the PCA section uses step_pca()
, the PLS section uses step_pls()
, and so forth.
Attached is a screenshot, not sure if it's my browser. I use safari and chrome. Thank you.
Ah, I see what you're saying now. Thank you so much! 🙌
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Online version of book.
chapter 16.1 reads:
"16.1 WHEN PROBLEMS CAN DIMENSIONALITY REDUCTION SOLVE?"
16.5.1 Principal Component Analysis repeats a code chunk.
"bean_rec_trained %>% step_pca(all_numeric_predictors(), num_comp = 4) %>% plot_validation_results() + ggtitle("Principal Component Analysis")"
16.5.2 Partial Least Squares repeats a code chunk.
"bean_rec_trained %>% step_pls(all_numeric_predictors(), outcome = "class", num_comp = 4) %>% plot_validation_results() + ggtitle("Partial Least Squares")"
16.5.3 Independent Component Analysis
"bean_rec_trained %>% step_ica(all_numeric_predictors(), num_comp = 4) %>% plot_validation_results() + ggtitle("Independent Component Analysis")"
16.5.4 UNIFORM MANIFOLD APPROXIMATION AND PROJECTION repeats code chunk
"library(embed) bean_rec_trained %>% step_umap(all_numeric_predictors(), num_comp = 4) %>% plot_validation_results() + ggtitle("UMAP")"
"bean_rec_trained %>% step_umap(all_numeric_predictors(), outcome = "class", num_comp = 4) %>% plot_validation_results() + ggtitle("UMAP (supervised)")"
Thank you for all your hard work.