tfdatasets2.18.0 package

Interface to 'TensorFlow' Datasets

dataset_prefetch

Creates a Dataset that prefetches elements from this dataset.

make_csv_dataset

Reads CSV files into a batched dataset

all_numeric

Speciy all numeric variables.

as_array_iterator

Convert tf_dataset to an iterator that yields R arrays.

iterator_make_initializer

Create an operation that can be run to initialize this iterator

iterator_string_handle

String-valued tensor that represents this iterator

all_nominal

Find all nominal variables.

as_tensor.tf_dataset

Get the single element of the dataset.

as_tf_dataset

Add the tf_dataset class to a dataset

choose_from_datasets

Creates a dataset that deterministically chooses elements from dataset...

dataset_batch

Combines consecutive elements of this dataset into batches.

dataset_bucket_by_sequence_length

A transformation that buckets elements in a Dataset by length

dataset_cache

Caches the elements in this dataset.

dataset_collect

Collects a dataset

dataset_concatenate

Creates a dataset by concatenating given dataset with this dataset.

dataset_decode_delim

Transform a dataset with delimted text lines into a dataset with named...

dataset_enumerate

Enumerates the elements of this dataset

dataset_filter

Filter a dataset by a predicate

dataset_flat_map

Maps map_func across this dataset and flattens the result.

dataset_group_by_window

Group windows of elements by key and reduce them

dataset_interleave

Maps map_func across this dataset, and interleaves the results

dataset_map_and_batch

Fused implementation of dataset_map() and dataset_batch()

dataset_map

Map a function across a dataset.

dataset_options

Get or Set Dataset Options

dataset_padded_batch

Combines consecutive elements of this dataset into padded batches.

dataset_prefetch_to_device

A transformation that prefetches dataset values to the given device

dataset_prepare

Prepare a dataset for analysis

dataset_reduce

Reduces the input dataset to a single element.

dataset_rejection_resample

A transformation that resamples a dataset to a target distribution.

dataset_repeat

Repeats a dataset count times.

dataset_scan

A transformation that scans a function across an input dataset

dataset_shard

Creates a dataset that includes only 1 / num_shards of this dataset.

dataset_shuffle_and_repeat

Shuffles and repeats a dataset returning a new permutation for each ep...

dataset_shuffle

Randomly shuffles the elements of this dataset.

dataset_skip

Creates a dataset that skips count elements from this dataset

dataset_snapshot

Persist the output of a dataset

dataset_take_while

A transformation that stops dataset iteration based on a predicate.

layer_input_from_dataset

Creates a list of inputs from a dataset

dataset_take

Creates a dataset with at most count elements from this dataset

dataset_unbatch

Unbatch a dataset

dataset_unique

A transformation that discards duplicate elements of a Dataset.

dataset_use_spec

Transform the dataset using the provided spec.

dataset_window

Combines input elements into a dataset of windows.

delim_record_spec

Specification for reading a record from a text file with delimited val...

dense_features

Dense Features

length.tf_dataset

Get Dataset length

feature_spec

Creates a feature specification.

file_list_dataset

A dataset of all files matching a pattern

fit.FeatureSpec

Fits a feature specification.

fixed_length_record_dataset

A dataset of fixed-length records from one or more binary files.

has_type

Identify the type of the variable.

input_fn

Construct a tfestimators input function from a dataset

iterator_get_next

Get next element from iterator

iterator_initializer

An operation that should be run to initialize this iterator.

make-iterator

Creates an iterator for enumerating the elements of this dataset.

next_batch

Tensor(s) for retrieving the next batch from a dataset

output_types

Output types and shapes

pipe

Pipe operator

random_integer_dataset

Creates a Dataset of pseudorandom values

range_dataset

Creates a dataset of a step-separated range of values.

read_files

Read a dataset from a set of files

reexports

Objects exported from other packages

sample_from_datasets

Samples elements at random from the datasets in datasets.

scaler_min_max

Creates an instance of a min max scaler

scaler_standard

Creates an instance of a standard scaler

scaler

List of pre-made scalers

selectors

Selectors

sparse_tensor_slices_dataset

Splits each rank-N tf$SparseTensor in this dataset row-wise.

sql_dataset

A dataset consisting of the results from a SQL query

step_bucketized_column

Creates bucketized columns

step_categorical_column_with_hash_bucket

Creates a categorical column with hash buckets specification

step_categorical_column_with_identity

Create a categorical column with identity

step_categorical_column_with_vocabulary_file

Creates a categorical column with vocabulary file

step_categorical_column_with_vocabulary_list

Creates a categorical column specification

step_crossed_column

Creates crosses of categorical columns

until_out_of_range

Execute code that traverses a dataset until an out of range condition ...

step_embedding_column

Creates embeddings columns

step_indicator_column

Creates Indicator Columns

step_numeric_column

Creates a numeric column specification

step_remove_column

Creates a step that can remove columns

with_dataset

Execute code that traverses a dataset

step_shared_embeddings_column

Creates shared embeddings for categorical columns

steps

Steps for feature columns specification.

tensor_slices_dataset

Creates a dataset whose elements are slices of the given tensors.

tensors_dataset

Creates a dataset with a single element, comprising the given tensors.

text_line_dataset

A dataset comprising lines from one or more text files.

tfrecord_dataset

A dataset comprising records from one or more TFRecord files.

zip_datasets

Creates a dataset by zipping together the given datasets.

Interface to 'TensorFlow' Datasets, a high-level library for building complex input pipelines from simple, re-usable pieces. See <https://www.tensorflow.org/guide> for additional details.

  • Maintainer: Tomasz Kalinowski
  • License: Apache License 2.0
  • Last published: 2025-08-20