Man pages for rstudio/tfdatasets
Interface to 'TensorFlow' Datasets
| all_nominal | Find all nominal variables. |
| all_numeric | Speciy all numeric variables. |
| as_array_iterator | Convert tf_dataset to an iterator that yields R arrays. |
| as_tensor.tf_dataset | Get the single element of the dataset. |
| as_tf_dataset | Add the tf_dataset class to a dataset |
| choose_from_datasets | Creates a dataset that deterministically chooses elements... |
| dataset_batch | Combines consecutive elements of this dataset into batches. |
| dataset_bucket_by_sequence_length | A transformation that buckets elements in a 'Dataset' by... |
| 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_decode_delim | Transform a dataset with delimted text lines into a dataset... |
| 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... |
| 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... |
| dataset_prefetch | Creates a Dataset that prefetches elements from this dataset. |
| dataset_prefetch_to_device | A transformation that prefetches dataset values to the given... |
| 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... |
| dataset_repeat | Repeats a dataset count times. |
| dataset_scan | A transformation that scans a function across an input... |
| dataset_shard | Creates a dataset that includes only 1 / num_shards of this... |
| dataset_shuffle | Randomly shuffles the elements of this dataset. |
| dataset_shuffle_and_repeat | Shuffles and repeats a dataset returning a new permutation... |
| 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_take_while | A transformation that stops dataset iteration based on a... |
| dataset_unbatch | Unbatch a dataset |
| dataset_unique | A transformation that discards duplicate elements of a... |
| 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... |
| dense_features | Dense Features |
| 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... |
| has_type | Identify the type of the variable. |
| hearts | Heart Disease Data Set |
| input_fn | 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_string_handle | String-valued tensor that represents this iterator |
| layer_input_from_dataset | Creates a list of inputs from a dataset |
| length.tf_dataset | Get Dataset length |
| make_csv_dataset | Reads CSV files into a batched dataset |
| make-iterator | Creates an iterator for enumerating the elements of this... |
| next_batch | Tensor(s) for retrieving the next batch from a dataset |
| output_types | Output types and shapes |
| pipe | Pipe operator |
| 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 |
| reexports | Objects exported from other packages |
| 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... |
| sql_dataset | A dataset consisting of the results from a SQL query |
| 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 |
| steps | Steps for feature columns specification. |
| step_shared_embeddings_column | Creates shared embeddings for categorical columns |
| tensors_dataset | Creates a dataset with a single element, comprising the given... |
| tensor_slices_dataset | Creates a dataset whose elements are slices of the given... |
| 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. |
| until_out_of_range | Execute code that traverses a dataset until an out of range... |
| with_dataset | Execute code that traverses a dataset |
| zip_datasets | Creates a dataset by zipping together the given datasets. |
