Man pages for jonathanbratt/RBERT
R Implementation of BERT
| AdamWeightDecayOptimizer | Constructor for objects of class AdamWeightDecayOptimizer |
| apply_to_chars | Apply a function to each character in a string. |
| assert_rank | Confirm the rank of a tensor |
| attention_layer | Build multi-headed attention layer |
| BasicTokenizer | Construct objects of BasicTokenizer class. |
| BertConfig | Construct objects of BertConfig class |
| bert_config_from_json_file | Load BERT config object from json file |
| BertModel | Construct object of class BertModel |
| check_vocab | Check Vocabulary |
| clean_text | Perform invalid character removal and whitespace cleanup on... |
| convert_by_vocab | Convert a sequence of tokens/ids using the provided vocab. |
| convert_examples_to_features | Convert 'InputExample's to 'InputFeatures' |
| convert_single_example | Convert a single 'InputExample' into a single 'InputFeatures' |
| convert_to_unicode | Convert 'text' to Unicode |
| create_attention_mask_from_input_mask | Create 3D attention mask from a 2D tensor mask |
| create_initializer | Create truncated normal initializer |
| create_model | Create a classification model |
| create_optimizer | Create an optimizer training op |
| dot-choose_BERT_dir | Choose a directory for BERT checkpoints |
| dot-convert_examples_to_features_EF | Convert 'InputExample_EF's to 'InputFeatures_EF' |
| dot-convert_single_example_EF | Convert a single 'InputExample_EF' into a single... |
| dot-download_BERT_checkpoint | Download a checkpoint zip file |
| dot-get_actual_index | Standardize Indices |
| dot-get_model_archive_path | Locate an archive file for a BERT checkpoint |
| dot-get_model_archive_type | Get archive type of a BERT checkpoint |
| dot-get_model_subdir | Locate a subdir for a BERT checkpoint |
| dot-get_model_url | Get url of a BERT checkpoint |
| dot-has_checkpoint | Check whether the user already has a checkpoint |
| dot-infer_archive_type | Infer the archive type for a BERT checkpoint |
| dot-infer_checkpoint_archive_path | Infer the path to the archive for a BERT checkpoint |
| dot-infer_ckpt_dir | Infer the subdir for a BERT checkpoint |
| dot-infer_model_paths | Find Paths to Checkpoint Files |
| dot-InputFeatures_EF | Construct objects of class 'InputFeatures_FE' |
| dot-maybe_download_checkpoint | Find or Possibly Download a Checkpoint |
| dot-model_fn_builder_EF | Define 'model_fn' closure for 'TPUEstimator' |
| dot-process_BERT_checkpoint | Unzip and check a BERT checkpoint zip |
| download_BERT_checkpoint | Download a BERT checkpoint |
| dropout | Perform Dropout |
| embedding_lookup | Look up words embeddings for id tensor |
| embedding_postprocessor | Perform various post-processing on a word embedding tensor |
| extract_features | Extract output features from BERT |
| file_based_convert_examples_to_features | Convert a set of 'InputExample's to a TFRecord file. |
| file_based_input_fn_builder | summary |
| find_files | Find Checkpoint Files |
| FullTokenizer | Construct objects of FullTokenizer class. |
| gelu | Gaussian Error Linear Unit |
| get_activation | Map a string to a Python function |
| get_assignment_map_from_checkpoint | Compute the intersection of the current variables and... |
| get_shape_list | Return the shape of tensor |
| InputExample | Construct objects of class 'InputExample' |
| InputExample_EF | Construct objects of class 'InputExample_EF' |
| InputFeatures | Construct objects of class 'InputFeatures' |
| input_fn_builder | Create an 'input_fn' closure to be passed to TPUEstimator |
| input_fn_builder_EF | Create an 'input_fn' closure to be passed to TPUEstimator |
| is_chinese_char | Check whether cp is the codepoint of a CJK character. |
| is_control | Check whether 'char' is a control character. |
| is_punctuation | Check whether 'char' is a punctuation character. |
| is_whitespace | Check whether 'char' is a whitespace character. |
| layer_norm | Run layer normalization |
| layer_norm_and_dropout | Run layer normalization followed by dropout |
| load_vocab | Load a vocabulary file |
| make_examples_simple | Easily make examples for BERT |
| model_fn_builder | Define 'model_fn' closure for 'TPUEstimator' |
| reshape_from_matrix | Turn a matrix into a tensor |
| reshape_to_matrix | Turn a tensor into a matrix |
| set_BERT_dir | Set the directory for BERT checkpoints |
| split_on_punc | Split text on punctuation. |
| strip_accents | Strip accents from a piece of text. |
| tokenize | Tokenizers for various objects. |
| tokenize_chinese_chars | Add whitespace around any CJK character. |
| tokenize_text | Tokenize Text with Word Pieces |
| tokenize_word | Tokenize a single "word" (no whitespace). |
| transformer_model | Build multi-head, multi-layer Transformer |
| transpose_for_scores | Reshape and transpose tensor |
| truncate_seq_pair | Truncate a sequence pair to the maximum length. |
| whitespace_tokenize | Run basic whitespace cleaning and splitting on a piece of... |
| WordpieceTokenizer | Construct objects of WordpieceTokenizer class. |
