Interface to 'TensorFlow' Datasets
Creates a Dataset that prefetches elements from this dataset.
Reads CSV files into a batched dataset
Speciy all numeric variables.
Convert tf_dataset to an iterator that yields R arrays.
Create an operation that can be run to initialize this iterator
String-valued tensor that represents this iterator
Find all nominal variables.
Get the single element of the dataset.
Add the tf_dataset class to a dataset
Creates a dataset that deterministically chooses elements from dataset...
Combines consecutive elements of this dataset into batches.
A transformation that buckets elements in a Dataset
by length
Caches the elements in this dataset.
Collects a dataset
Creates a dataset by concatenating given dataset with this dataset.
Transform a dataset with delimted text lines into a dataset with named...
Enumerates the elements of this dataset
Filter a dataset by a predicate
Maps map_func across this dataset and flattens the result.
Group windows of elements by key and reduce them
Maps map_func across this dataset, and interleaves the results
Fused implementation of dataset_map() and dataset_batch()
Map a function across a dataset.
Get or Set Dataset Options
Combines consecutive elements of this dataset into padded batches.
A transformation that prefetches dataset values to the given device
Prepare a dataset for analysis
Reduces the input dataset to a single element.
A transformation that resamples a dataset to a target distribution.
Repeats a dataset count times.
A transformation that scans a function across an input dataset
Creates a dataset that includes only 1 / num_shards of this dataset.
Shuffles and repeats a dataset returning a new permutation for each ep...
Randomly shuffles the elements of this dataset.
Creates a dataset that skips count elements from this dataset
Persist the output of a dataset
A transformation that stops dataset iteration based on a predicate.
Creates a list of inputs from a dataset
Creates a dataset with at most count elements from this dataset
Unbatch a dataset
A transformation that discards duplicate elements of a Dataset.
Transform the dataset using the provided spec.
Combines input elements into a dataset of windows.
Specification for reading a record from a text file with delimited val...
Dense Features
Get Dataset length
Creates a feature specification.
A dataset of all files matching a pattern
Fits a feature specification.
A dataset of fixed-length records from one or more binary files.
Identify the type of the variable.
Construct a tfestimators input function from a dataset
Get next element from iterator
An operation that should be run to initialize this iterator.
Creates an iterator for enumerating the elements of this dataset.
Tensor(s) for retrieving the next batch from a dataset
Output types and shapes
Pipe operator
Creates a Dataset
of pseudorandom values
Creates a dataset of a step-separated range of values.
Read a dataset from a set of files
Objects exported from other packages
Samples elements at random from the datasets in datasets
.
Creates an instance of a min max scaler
Creates an instance of a standard scaler
List of pre-made scalers
Selectors
Splits each rank-N tf$SparseTensor
in this dataset row-wise.
A dataset consisting of the results from a SQL query
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
Execute code that traverses a dataset until an out of range condition ...
Creates embeddings columns
Creates Indicator Columns
Creates a numeric column specification
Creates a step that can remove columns
Execute code that traverses a dataset
Creates shared embeddings for categorical columns
Steps for feature columns specification.
Creates a dataset whose elements are slices of the given tensors.
Creates a dataset with a single element, comprising the given tensors.
A dataset comprising lines from one or more text files.
A dataset comprising records from one or more TFRecord files.
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.