library(tfdatasets)
data(hearts)
<- tensor_slices_dataset(hearts) %>% dataset_batch(32)
hearts
# use the formula interface
<- feature_spec(hearts, target ~ age) %>%
spec step_numeric_column(age)
<- fit(spec)
spec_fit <- hearts %>% dataset_use_spec(spec_fit) final_dataset
dataset_use_spec
Transform the dataset using the provided spec.
Description
Prepares the dataset to be used directly in a model.The transformed dataset is prepared to return tuples (x,y) that can be used directly in Keras.
Usage
dataset_use_spec(dataset, spec)
Arguments
Arguments | Description |
---|---|
dataset | A TensorFlow dataset. |
spec | A feature specification created with feature_spec() . |
Value
A TensorFlow dataset.
Examples
See Also
feature_spec()
to initialize the feature specification.fit.FeatureSpec()
to create a tensorflow dataset prepared to modeling.steps to a list of all implemented steps.
Other Feature Spec Functions:
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_remove_column()
,step_shared_embeddings_column()
,steps