layer_input_from_dataset: Creates a list of inputs from a dataset

In rstudio/tfdatasets: Interface to 'TensorFlow' Datasets

Creates a list of inputs from a dataset

Description

DEPRECATED: Use keras3::layer_feature_space() instead.

Usage

layer_input_from_dataset(dataset)

Arguments

dataset

a TensorFlow dataset or a data.frame

Details

Create a list ok Keras input layers that can be used together with keras::layer_dense_features().

Value

a list of Keras input layers

Examples

## Not run: 
library(tfdatasets)
data(hearts)
hearts <- tensor_slices_dataset(hearts) %>% dataset_batch(32)

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

spec <- fit(spec)
dataset <- hearts %>% dataset_use_spec(spec)

input <- layer_input_from_dataset(dataset)

## End(Not run)

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