R/feature_spec.R

step_categorical_column_with_identity

Create a categorical column with identity

Description

Use this when your inputs are integers in the range [0-num_buckets).

Usage

 
step_categorical_column_with_identity( 
  spec, 
  ..., 
  num_buckets, 
  default_value = NULL 
) 

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.
num_buckets Range of inputs and outputs is [0, num_buckets).
default_value If NULL, this column’s graph operations will fail for out-of-range inputs. Otherwise, this value must be in the range [0, num_buckets), and will replace inputs in that range.

Value

a FeatureSpec object.

Examples

library(tfdatasets) 
data(hearts) 
 
hearts$thal <- as.integer(as.factor(hearts$thal)) - 1L 
 
hearts <- tensor_slices_dataset(hearts) %>% dataset_batch(32) 
 
# use the formula interface 
spec <- feature_spec(hearts, target ~ thal) %>% 
  step_categorical_column_with_identity(thal, num_buckets = 5) 
 
spec_fit <- fit(spec) 
final_dataset <- hearts %>% dataset_use_spec(spec_fit) 

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_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