library(tfdatasets)
dataset <- text_line_dataset("mtcars.csv", record_spec = mtcars_spec) %>%
dataset_filter(function(record) {
record$mpg >= 20
})
dataset <- text_line_dataset("mtcars.csv", record_spec = mtcars_spec) %>%
dataset_filter(function(record) {
record$mpg >= 20 & record$cyl >= 6L
}) dataset_filter
Filter a dataset by a predicate
Description
Filter a dataset by a predicate
Usage
dataset_filter(dataset, predicate) Arguments
| Arguments | Description |
|---|---|
| dataset | A dataset |
| predicate | A function mapping a nested structure of tensors (having shapes and types defined by output_shapes() and output_types() to a scalar tf$bool tensor. |
Details
Note that the functions used inside the predicate must be tensor operations (e.g. tf$not_equal, tf$less, etc.). R generic methods for relational operators (e.g. <, >, <=, etc.) and logical operators (e.g. !, &, |, etc.) are provided so you can use shorthand syntax for most common comparisions (this is illustrated by the example below).
Value
A dataset composed of records that matched the predicate.
Examples
See Also
Other dataset methods: dataset_batch(), dataset_cache(), dataset_collect(), dataset_concatenate(), dataset_decode_delim(), dataset_interleave(), dataset_map_and_batch(), dataset_map(), dataset_padded_batch(), dataset_prefetch_to_device(), dataset_prefetch(), dataset_reduce(), dataset_repeat(), dataset_shuffle_and_repeat(), dataset_shuffle(), dataset_skip(), dataset_take_while(), dataset_take(), dataset_window()