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tfdatasets  

Interface to 'TensorFlow' Datasets
View on CRAN: Click here


Download and install tfdatasets package within the R console
Install from CRAN:
install.packages("tfdatasets")

Install from Github:
library("remotes")
install_github("cran/tfdatasets")

Install by package version:
library("remotes")
install_version("tfdatasets", "2.17.0")



Attach the package and use:
library("tfdatasets")
Maintained by
Tomasz Kalinowski
[Scholar Profile | Author Map]
First Published: 2018-01-15
Latest Update: 2022-06-29
Description:
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.
How to cite:
Tomasz Kalinowski (2018). tfdatasets: Interface to 'TensorFlow' Datasets. R package version 2.17.0, https://cran.r-project.org/web/packages/tfdatasets. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.5 (2018-01-15 15:06), 1.9 (2018-08-25 15:20), 1.13.1 (2019-04-09 13:50), 2.0.0 (2019-12-13 15:40), 2.2.0 (2020-05-25 16:20), 2.4.0 (2021-04-03 07:00), 2.6.0 (2021-09-07 17:40), 2.7.0 (2021-11-09 21:10), 2.9.0 (2022-06-29 23:10)
Other packages that cited tfdatasets R package
View tfdatasets citation profile
Other R packages that tfdatasets depends, imports, suggests or enhances
Complete documentation for tfdatasets
Functions, R codes and Examples using the tfdatasets R package
Some associated functions: all_nominal . all_numeric . as_array_iterator . as_tensor.tf_dataset . as_tf_dataset . choose_from_datasets . dataset_batch . dataset_bucket_by_sequence_length . dataset_cache . dataset_collect . dataset_concatenate . dataset_decode_delim . dataset_enumerate . dataset_filter . dataset_flat_map . dataset_group_by_window . dataset_interleave . dataset_map . dataset_map_and_batch . dataset_options . dataset_padded_batch . dataset_prefetch . dataset_prefetch_to_device . dataset_prepare . dataset_reduce . dataset_rejection_resample . dataset_repeat . dataset_scan . dataset_shard . dataset_shuffle . dataset_shuffle_and_repeat . dataset_skip . dataset_snapshot . dataset_take . dataset_take_while . dataset_unbatch . dataset_unique . dataset_use_spec . dataset_window . delim_record_spec . dense_features . feature_spec . file_list_dataset . fit.FeatureSpec . fixed_length_record_dataset . has_type . hearts . input_fn . iterator_get_next . iterator_initializer . iterator_make_initializer . iterator_string_handle . layer_input_from_dataset . length.tf_dataset . make-iterator . make_csv_dataset . next_batch . output_types . pipe . random_integer_dataset . range_dataset . read_files . reexports . sample_from_datasets . scaler . scaler_min_max . scaler_standard . selectors . sparse_tensor_slices_dataset . sql_dataset . step_bucketized_column . step_categorical_column_with_hash_bucket . step_categorical_column_with_identity . step_categorical_column_with_vocabulary_file . step_categorical_column_with_vocabulary_list . step_crossed_column . step_embedding_column . step_indicator_column . step_numeric_column . step_remove_column . step_shared_embeddings_column . steps . tensor_slices_dataset . tensors_dataset . text_line_dataset . tfrecord_dataset . until_out_of_range . with_dataset . zip_datasets . 
Some associated R codes: data.R . dataset_inspect.R . dataset_iterators.R . dataset_methods.R . dataset_properties.R . feature_spec.R . file_list_dataset.R . fixed_length_dataset.R . formulas.R . input_fn.R . iterators.R . package.R . range_dataset.R . read_files.R . record_spec.R . reexports.R . sample_from_datasets.R . sql_dataset.R . symbols.R . tensors_dataset.R . text_line_dataset.R . tfrecord_dataset.R . utils.R . zip_datasets.R .  Full tfdatasets package functions and examples
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