Loading docs/tokenizers.rst +1 −2 Original line number Diff line number Diff line Loading @@ -26,8 +26,7 @@ The :code:`dc.feat.SmilesTokenizer` module inherits from the BertTokenizer class The SmilesTokenizer employs an atom-wise tokenization strategy using the following Regex expression: >>> SMI_REGEX_PATTERN = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\. |¼|#||\+|\\\\\/|:||@|\?|>|\*|\$|\%[0–9]{2}|[0–9])" >>> SMI_REGEX_PATTERN = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#||\+|\\\\\/|:||@|\?|>|\*|\$|\%[0–9]{2}|[0–9])" To use, please install the transformers package using the following pip command: Loading Loading
docs/tokenizers.rst +1 −2 Original line number Diff line number Diff line Loading @@ -26,8 +26,7 @@ The :code:`dc.feat.SmilesTokenizer` module inherits from the BertTokenizer class The SmilesTokenizer employs an atom-wise tokenization strategy using the following Regex expression: >>> SMI_REGEX_PATTERN = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\. |¼|#||\+|\\\\\/|:||@|\?|>|\*|\$|\%[0–9]{2}|[0–9])" >>> SMI_REGEX_PATTERN = "(\[[^\]]+]|Br?|Cl?|N|O|S|P|F|I|b|c|n|o|s|p|\(|\)|\.|=|#||\+|\\\\\/|:||@|\?|>|\*|\$|\%[0–9]{2}|[0–9])" To use, please install the transformers package using the following pip command: Loading
