tfdatasets (version 2.17.0)

dataset_filter: Filter a dataset by a predicate

Description

Filter a dataset by a predicate

Usage

dataset_filter(dataset, predicate)

Value

A dataset composed of records that matched the predicate.

Arguments

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).

See Also

Other dataset methods: dataset_batch(), dataset_cache(), dataset_collect(), dataset_concatenate(), dataset_decode_delim(), dataset_interleave(), dataset_map(), dataset_map_and_batch(), dataset_padded_batch(), dataset_prefetch(), dataset_prefetch_to_device(), dataset_reduce(), dataset_repeat(), dataset_shuffle(), dataset_shuffle_and_repeat(), dataset_skip(), dataset_take(), dataset_take_while(), dataset_window()

Examples

if (FALSE) {

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
  })

}