Description Usage Arguments Examples
View source: R/arrow_dataset.R
An Arrow Dataset for reading record batches from Arrow feather files. Feather is a light-weight columnar format ideal for simple writing of Pandas DataFrames.
1 | arrow_feather_dataset(filenames, columns, output_types, output_shapes = NULL)
|
filenames |
A |
columns |
A list of column indices to be used in the Dataset. |
output_types |
Tensor dtypes of the output tensors. |
output_shapes |
TensorShapes of the output tensors or |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Not run:
dataset <- arrow_feather_dataset(
list('/path/to/a.feather', '/path/to/b.feather'),
columns = reticulate::tuple(0L, 1L),
output_types = reticulate::tuple(tf$int32, tf$float32),
output_shapes = reticulate::tuple(list(), list())) %>%
dataset_repeat(1)
sess <- tf$Session()
iterator <- make_iterator_one_shot(dataset)
next_batch <- iterator_get_next(iterator)
until_out_of_range({
batch <- sess$run(next_batch)
print(batch)
})
## End(Not run)
|
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