A dataset comprising lines from one or more text files.
A dataset comprising records from one or more TFRecord files.
A dataset consisting of the results from a SQL query
Creates a dataset with a single element, comprising the given tensors.
Creates a dataset whose elements are slices of the given tensors.
Splits each rank-N
A dataset of fixed-length records from one or more binary files.
A dataset of all files matching a pattern
Creates a dataset of a step-separated range of values.
Read a dataset from a set of files
Specification for reading a record from a text file with delimited values
Reads CSV files into a batched dataset
Map a function across a dataset.
Fused implementation of dataset_map() and dataset_batch()
Prepare a dataset for analysis
Creates a dataset that skips count elements from this dataset
Filter a dataset by a predicate
Creates a dataset that includes only 1 / num_shards of this dataset.
Randomly shuffles the elements of this dataset.
Shuffles and repeats a dataset returning a new permutation for each epoch.
Creates a Dataset that prefetches elements from this dataset.
Combines consecutive elements of this dataset into batches.
Repeats a dataset count times.
Caches the elements in this dataset.
Creates a dataset with at most count elements from this dataset
Maps map_func across this dataset and flattens the result.
Combines consecutive elements of this dataset into padded batches
Transform a dataset with delimted text lines into a dataset with named columns
Creates a dataset by concatenating given dataset with this dataset.
Maps map_func across this dataset, and interleaves the results
A transformation that prefetches dataset values to the given
Combines input elements into a dataset of windows.
Collects a dataset
Creates a dataset by zipping together the given datasets.
Samples elements at random from the datasets in
Execute code that traverses a dataset
Output types and shapes
Construct a tfestimators input function from a dataset
Creates an iterator for enumerating the elements of this dataset.
Get next element from iterator
An operation that should be run to initialize this iterator.
String-valued tensor that represents this iterator
Create an operation that can be run to initialize this iterator
Execute code that traverses a dataset until an out of range condition occurs
Tensor(s) for retreiving the next batch from a dataset
Creates a feature specification.
Transform the dataset using the provided spec.
Fits a feature specification.
List of pre-made scalers
Creates an instance of a min max scaler
Creates an instance of a standard scaler
Creates bucketized columns
Creates a categorical column with hash buckets specification
Create a categorical column with identity
Creates a categorical column with vocabulary file
Creates a categorical column specification
Creates crosses of categorical columns
Creates embeddings columns
Creates Indicator Columns
Creates a numeric column specification
Creates a step that can remove columns
Creates shared embeddings for categorical columns
Steps for feature columns specification.
Find all nominal variables.
Speciy all numeric variables.
Identify the type of the variable.
Creates a list of inputs from a dataset
Heart Disease Data Set