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unit: def populate_master_vocab()
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unit: def forward()
file: torchmoji/lstm.py
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unit: def class_avg_chainthaw()
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id: 7
unit: def tokenize_sentences()
file: torchmoji/sentence_tokenizer.py
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unit: def train_by_chain_thaw()
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unit: def class_avg_tune_trainable()
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id: 11
unit: def load_specific_weights()
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unit: def __init__()
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unit: def VariableRecurrent()
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unit: def VariableRecurrentReverse()
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unit: def StackedRNN()
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unit: def AutogradRNN()
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unit: def load_benchmark()
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unit: def __init__()
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id: 21
unit: def validated_tweet()
file: torchmoji/word_generator.py
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unit: def __init__()
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id: 23
unit: def mostly_english()
file: torchmoji/filter_utils.py
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id: 24
unit: def get_results()
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unit: def get_words()
file: torchmoji/word_generator.py
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id: 26
unit: def tune_trainable()
file: torchmoji/finetuning.py
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id: 27
unit: def __setstate__()
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id: 28
unit: def extract_valid_sentence_words()
file: torchmoji/word_generator.py
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id: 29
unit: def save_vocab()
file: torchmoji/create_vocab.py
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id: 30
unit: def extend_vocab()
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id: 31
unit: def find_f1_threshold()
file: torchmoji/finetuning.py
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id: 32
unit: def convert_dataset()
file: scripts/convert_all_datasets.py
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id: 33
unit: def convert_unicode_punctuation()
file: torchmoji/word_generator.py
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id: 34
unit: def shorten_word()
file: torchmoji/filter_utils.py
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id: 35
unit: def evaluate_using_acc()
file: torchmoji/finetuning.py
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id: 36
unit: def correct_length()
file: torchmoji/filter_utils.py
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id: 37
unit: def __repr__()
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id: 38
unit: def prompt()
file: scripts/download_weights.py
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id: 39
unit: def init_weights()
file: torchmoji/model_def.py
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unit: def __init__()
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id: 41
unit: def data_postprocess_filtering()
file: torchmoji/word_generator.py
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id: 42
unit: def forward()
file: torchmoji/attlayer.py
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id: 43
unit: def Recurrent()
file: torchmoji/lstm.py
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id: 44
unit: def torchmoji_transfer()
file: torchmoji/model_def.py
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id: 45
unit: def convert_unicode_word()
file: torchmoji/word_generator.py
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id: 46
unit: def LSTMCell()
file: torchmoji/lstm.py
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id: 47
unit: def read_english()
file: torchmoji/filter_input.py
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id: 48
unit: def extend_vocab_in_file()
file: torchmoji/create_vocab.py
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id: 49
unit: def chain_thaw()
file: torchmoji/finetuning.py
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id: 50
unit: def detect_special_tokens()
file: torchmoji/filter_utils.py
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unit: def tokenize()
file: torchmoji/tokenizer.py
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unit: def save_vocab()
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unit: def all_words_in_sentences()
file: torchmoji/create_vocab.py
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unit: def __iter__()
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id: 55
unit: def separate_emojis_and_text()
file: torchmoji/filter_utils.py
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unit: def find_tokens()
file: torchmoji/sentence_tokenizer.py
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unit: def coverage()
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id: 58
unit: def read_wanted_emojis()
file: torchmoji/filter_input.py
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id: 59
unit: def change_trainable()
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unit: def __init__()
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id: 61
unit: def relabel()
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unit: def format_pickle()
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unit: def count_words_in_sentence()
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unit: def freeze_layers()
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unit: def __init__()
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unit: def data_preprocess_filtering()
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id: 70
unit: def is_special_token()
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id: 73
unit: def torchmoji_feature_encoding()
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id: 74
unit: def check_ascii()
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id: 75
unit: def reset_stats()
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id: 77
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id: 78
unit: def torchmoji_emojis()
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id: 82
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id: 83
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id: 84
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id: 85
unit: def remove_variation_selectors()
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unit: def process_word()
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id: 90
unit: def reset_parameters()
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id: 91
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id: 92
unit: def evaluate_using_weighted_f1()
file: torchmoji/finetuning.py
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id: 93
unit: def __repr__()
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id: 94
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id: 96
unit: def extract_emojis()
file: torchmoji/filter_utils.py
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id: 97
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id: 102
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id: 103
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id: 106
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