94b405357109c443277e568009045798a38d5842,nlp_architect/pipelines/spacy_bist/parser.py,SpacyBISTParser,__init__,#SpacyBISTParser#Any#Any#Any#,42

Before Change

            download_pretrained_model()
            bist_model = SpacyBISTParser.pretrained

        if path.isfile(bist_model) and (isinstance(spacy_model, str) or path.isfile(spacy_model)):
            self.verbose = verbose
            self.bist_parser = BISTModel()
            self.bist_parser.load(bist_model if bist_model else SpacyBISTParser.pretrained)
            self.spacy_annotator = spacy_load(spacy_model)

    def to_conll(self, doc_text):
        Converts a document to CoNLL format with spacy POS tags.

        Args:

After Change

    pretrained = path.join(dir, "bist-pretrained", "bist.model")

    def __init__(self, verbose=False, spacy_model="en", bist_model=None):
        validate((verbose, bool), (spacy_model, str, 0, 1000),
                 (bist_model, (type(None), str), 0, 1000))
        if not bist_model:
            print("Using pre-trained BIST model.")
            download_pretrained_model()
            bist_model = SpacyBISTParser.pretrained

Instances