Training spaCy - NameError

Question

我需要训练一个spaCy模型来提高识别产品的准确性。我正在努力训练我的spacy模型。我有以下代码：

TRAIN_DATA = [('..., {'entities': [(36,55,'PRODUCT')]})]
nlp = spacy.load("en_core_web_lg")
ner = nlp.get_pipe("ner")

optimizer = nlp.create_optimizer()
other_pipes = [pipe for pipe in nlp.pipe_names if pipe != "ner"]

with nlp.disable_pipes(*other_pipes): # only train NER
    for itn in range(50):
        random.shuffle(TRAIN_DATA)
        losses = {}
        for text, annotations in TRAIN_DATA:
            doc = nlp.make_doc(text)
            example = Example.from_dict(doc, annotations)
            nlp.update([example], drop=0.25, sgd=optimizer, losses=losses)

但由于以下原因，它失败了：

NameError                                 Traceback (most recent call last)
<ipython-input-4-903f2be7114f> in <module>
     15         for text, annotations in TRAIN_DATA:
     16             doc = nlp.make_doc(text)
---> 17             example = Example.from_dict(doc, annotations)
     18             nlp.update([example], drop=0.25, sgd=optimizer, losses=losses)
     19 print(losses)

NameError: name 'Example' is not defined

我需要如何定义Example

Answer 1

这里很热。感谢我错过了导入的提示:来自spacy.training导入示例

将代码从Jupyter移动到Visual Studio code以进行部署时