# printing Code print(im_rec) Output Recipe Inputs: role #variables predictor 3 Operations: Isomap approximation with x1, x2, x3 --- Code prep(im_rec) Message Output Recipe Inputs: role #variables predictor 3 Training data contained 5 data points and no missing data. Operations: Isomap approximation with x1, x2, x3 [trained] # No ISOmap Code print(im_rec) Output Recipe Inputs: role #variables predictor 3 Training data contained 5 data points and no missing data. Operations: Isomap was not conducted for x1, x2, x3 [trained] # ISOmap fails gracefully Code recipe(Sepal.Length ~ ., data = iris) %>% step_bs(Sepal.Width, deg_free = 1, degree = 1) %>% step_bs(Sepal.Length, deg_free = 1, degree = 1) %>% step_other(Species, threshold = 1e-09) %>% step_isomap(all_numeric_predictors(), num_terms = 1, neighbors = 1) %>% prep() Message Condition Error in `step_isomap()`: Caused by error in `prep()`: ! `step_isomap` failed with error: Error in do.call(.Call, args = dot_call_args) : TridiagEigen: eigen decomposition failed # can prep recipes with no keep_original_cols Code im_trained <- prep(im_rec, training = dat1, verbose = FALSE) Message Condition Warning: 'keep_original_cols' was added to `step_isomap()` 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: Isomap approximation with <none> --- Code rec Output Recipe Inputs: role #variables outcome 1 predictor 10 Training data contained 32 data points and no missing data. Operations: Isomap approximation with <none> [trained]
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