step_bucketized_column: Creates bucketized columns

In rstudio/tfdatasets: Interface to 'TensorFlow' Datasets

Creates bucketized columns

Description

Use this step to create bucketized columns from numeric columns.

Usage

step_bucketized_column(spec, ..., boundaries)

Arguments

spec	A feature specification created with feature_spec().
...	Comma separated list of variable names to apply the step. selectors can also be used.
boundaries	A sorted list or tuple of floats specifying the boundaries.

Value

a FeatureSpec object.

See Also

steps for a complete list of allowed steps.

Other Feature Spec Functions: dataset_use_spec(), feature_spec(), fit.FeatureSpec(), 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_remove_column(), step_shared_embeddings_column(), steps

Examples

## Not run: 
library(tfdatasets)
data(hearts)
file <- tempfile()
writeLines(unique(hearts$thal), file)
hearts <- tensor_slices_dataset(hearts) %>% dataset_batch(32)

# use the formula interface
spec <- feature_spec(hearts, target ~ age) %>%
  step_numeric_column(age) %>%
  step_bucketized_column(age, boundaries = c(10, 20, 30))
spec_fit <- fit(spec)
final_dataset <- hearts %>% dataset_use_spec(spec_fit)

## End(Not run)

rstudio/tfdatasets documentation built on July 22, 2024, 12:41 a.m.