Interface to 'TensorFlow' Datasets

Documentation for package ‘tfdatasets’ version 2.17.0

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-- A --

all_nominal	Find all nominal variables.
all_numeric	Speciy all numeric variables.
as.array.tensorflow.python.data.ops.dataset_ops.DatasetV2	Get the single element of the dataset.
as_array_iterator	Convert tf_dataset to an iterator that yields R arrays.
as_tensor.tensorflow.python.data.ops.dataset_ops.DatasetV2	Get the single element of the dataset.

-- C --

choose_from_datasets	Creates a dataset that deterministically chooses elements from datasets.
csv_record_spec	Specification for reading a record from a text file with delimited values
cur_info_env	Selectors

-- D --

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 columns
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	Map a function across a dataset.
dataset_map_and_batch	Fused implementation of dataset_map() and dataset_batch()
dataset_options	Get or Set Dataset Options
dataset_padded_batch	Combines consecutive elements of this dataset into padded batches.
dataset_prefetch	Creates a Dataset that prefetches elements from this dataset.
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	Randomly shuffles the elements of this dataset.
dataset_shuffle_and_repeat	Shuffles and repeats a dataset returning a new permutation for each epoch.
dataset_skip	Creates a dataset that skips count elements from this dataset
dataset_snapshot	Persist the output of a dataset
dataset_take	Creates a dataset with at most count elements from this dataset
dataset_take_while	A transformation that stops dataset iteration based on a predicate.
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 values
dense_features	Dense Features

-- F --

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.

-- G --

get_single_element

Get the single element of the dataset.

-- H --

has_type	Identify the type of the variable.
hearts	Heart Disease Data Set

-- I --

input_fn	Construct a tfestimators input function from a dataset
input_fn.tf_dataset	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.
iterator_make_initializer	Create an operation that can be run to initialize this iterator
iterator_string_handle	String-valued tensor that represents this iterator

-- L --

layer_input_from_dataset	Creates a list of inputs from a dataset
length.tensorflow.python.data.ops.dataset_ops.DatasetV2	Get Dataset length
length.tf_dataset	Get Dataset length

-- M --

make-iterator	Creates an iterator for enumerating the elements of this dataset.
make_csv_dataset	Reads CSV files into a batched dataset
make_iterator_from_string_handle	Creates an iterator for enumerating the elements of this dataset.
make_iterator_from_structure	Creates an iterator for enumerating the elements of this dataset.
make_iterator_initializable	Creates an iterator for enumerating the elements of this dataset.
make_iterator_one_shot	Creates an iterator for enumerating the elements of this dataset.

-- N --

next_batch

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

-- O --

output_shapes	Output types and shapes
output_types	Output types and shapes
out_of_range_handler	Execute code that traverses a dataset until an out of range condition occurs

-- R --

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

-- S --

sample_from_datasets	Samples elements at random from the datasets in 'datasets'.
scaler	List of pre-made scalers
scaler_min_max	Creates an instance of a min max scaler
scaler_standard	Creates an instance of a standard scaler
selectors	Selectors
sparse_tensor_slices_dataset	Splits each rank-N 'tf$SparseTensor' in this dataset row-wise.
sqlite_dataset	A dataset consisting of the results from a SQL query
sql_dataset	A dataset consisting of the results from a SQL query
sql_record_spec	A dataset consisting of the results from a SQL query
steps	Steps for feature columns specification.
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
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
step_shared_embeddings_column	Creates shared embeddings for categorical columns

-- T --

tensors_dataset	Creates a dataset with a single element, comprising the given tensors.
tensor_slices_dataset	Creates a dataset whose elements are slices of 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.
tsv_record_spec	Specification for reading a record from a text file with delimited values

-- U --

until_out_of_range

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

-- W --

with_dataset

Execute code that traverses a dataset

-- Z --

zip_datasets

Creates a dataset by zipping together the given datasets.