Function Reference

    Creating Datasets

    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

    Transforming Datasets

    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

    Dataset Properites

    output_types() output_shapes()

    Output types and shapes

    Dataset Iterators

    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 API

    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_image_embedding_column()

    Creates Image 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

    step_text_embedding_column()

    Creates text embeddings 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

    Data

    hearts

    Heart Disease Data Set