library(tfdatasets)
data(hearts)
hearts <- tensor_slices_dataset(hearts) %>% dataset_batch(32)
# use the formula interface
spec <- feature_spec(hearts, target ~ age) %>%
step_numeric_column(age, normalizer_fn = scaler_standard()) %>%
step_bucketized_column(age, boundaries = c(20, 50)) %>%
step_remove_column(age)
spec_fit <- fit(spec)
final_dataset <- hearts %>% dataset_use_spec(spec_fit) step_remove_column
Creates a step that can remove columns
Description
Removes features of the feature specification.
Usage
step_remove_column(spec, ...) Arguments
| Arguments | Description |
|---|---|
| spec | A feature specification created with feature_spec(). |
| … | Comma separated list of variable names to apply the step. selectors can also be used. |
Value
a FeatureSpec object.
Examples
See Also
steps for a complete list of allowed steps. Other Feature Spec Functions: dataset_use_spec(), feature_spec(), fit.FeatureSpec(), step_bucketized_column(), step_categorical_column_with_hash_bucket(), step_categorical_column_with_identity(), step_categorical_column_with_vocabulary_file(), step_categorical_column_with_vocabulary_list(), step_crossed_column(), step_embedding_column(), step_indicator_column(), step_numeric_column(), step_shared_embeddings_column(), steps