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.

sql_record_spec() sql_dataset() sqlite_dataset()

A dataset consisting of the results from a SQL query

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.

sparse_tensor_slices_dataset()

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

fixed_length_record_dataset()

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

file_list_dataset()

A dataset of all files matching a pattern

range_dataset()

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

read_files()

Read a dataset from a set of files

delim_record_spec() csv_record_spec() tsv_record_spec()

Specification for reading a record from a text file with delimited values

make_csv_dataset()

Reads CSV files into a batched dataset

dataset_map()

Map a function across a dataset.

dataset_map_and_batch()

Fused implementation of dataset_map() and dataset_batch()

dataset_prepare()

Prepare a dataset for analysis

dataset_skip()

Creates a dataset that skips count elements from this dataset

dataset_filter()

Filter a dataset by a predicate

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_prefetch()

Creates a Dataset that prefetches elements from this dataset.

dataset_batch()

Combines consecutive elements of this dataset into batches.

dataset_repeat()

Repeats a dataset count times.

dataset_cache()

Caches the elements in this dataset.

dataset_take()

Creates a dataset with at most count elements from this dataset

dataset_flat_map()

Maps map_func across this dataset and flattens the result.

dataset_padded_batch()

Combines consecutive elements of this dataset into padded batches

dataset_decode_delim()

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

dataset_concatenate()

Creates a dataset by concatenating given dataset with this dataset.

dataset_interleave()

Maps map_func across this dataset, and interleaves the results

dataset_prefetch_to_device()

A transformation that prefetches dataset values to the given device

dataset_window()

Combines input elements into a dataset of windows.

dataset_collect()

Collects a dataset

zip_datasets()

Creates a dataset by zipping together the given datasets.

sample_from_datasets()

Samples elements at random from the datasets in datasets.

with_dataset()

Execute code that traverses a dataset

output_types() output_shapes()

Output types and shapes

input_fn(<tf_dataset>)

Construct a tfestimators input function from a dataset

make_iterator_one_shot() make_iterator_initializable() make_iterator_from_structure() make_iterator_from_string_handle()

Creates an iterator for enumerating the elements of this dataset.

iterator_get_next()

Get next element from iterator

iterator_initializer()

An operation that should be run to initialize this iterator.

iterator_string_handle()

String-valued tensor that represents this iterator

iterator_make_initializer()

Create an operation that can be run to initialize this iterator

until_out_of_range() out_of_range_handler()

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

next_batch()

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

feature_spec()

Creates a feature specification.

dense_features()

Dense Features

dataset_use_spec()

Transform the dataset using the provided spec.

fit(<FeatureSpec>)

Fits a feature specification.

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

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

steps

Steps for feature columns specification.

all_nominal()

Find all nominal variables.

all_numeric()

Speciy all numeric variables.

has_type()

Identify the type of the variable.

cur_info_env

Selectors

layer_input_from_dataset()

Creates a list of inputs from a dataset

hearts

Heart Disease Data Set