无法使用CLI评估spacy 3.0中的自定义ner

Question

我正在尝试从磁盘将自定义管道作为spacy 3.0中的管道加载为自定义预训练模型：

工厂代码如下：

@CustomEng.factory("ner-crf")
def create_my_component(nlp, name):
    crf_extractor = CRFExtractor().from_disk("path-to-model")
    return CRFEntityExtractor(nlp, crf_extractor=crf_extractor)

然后我在我的语言课上添加了“ner crf”，如下所示：

    nlp = spacy.blank('custom-eng')
    nlp.add_pipe('ner-crf')
    nlp.to_disk('../model')

我认为有一件事可能与此相关：当我使用to_disk来保存nlp对象时，保存的对象中没有ner-crf包（我刚才添加的管道）

然后运行此CLI命令以评估NER管道：

python -m spacy evaluate ../model/ ../corpus/dev.spacy --output ../model/metrics.json --gpu-id 0 --code ../../../spacy_utils/custom-eng/__init__.py

但我得到了这个错误：

Traceback (most recent call last):
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/__main__.py", line 4, in <module>
    setup_cli()
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/cli/_util.py", line 69, in setup_cli
    command(prog_name=COMMAND)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/click/core.py", line 829, in __call__
    return self.main(*args, **kwargs)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/click/core.py", line 782, in main
    rv = self.invoke(ctx)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/click/core.py", line 1259, in invoke
    return _process_result(sub_ctx.command.invoke(sub_ctx))
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
    return ctx.invoke(self.callback, **ctx.params)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/click/core.py", line 610, in invoke
    return callback(*args, **kwargs)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/typer/main.py", line 497, in wrapper
    return callback(**use_params)  # type: ignore
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/cli/evaluate.py", line 42, in evaluate_cli
    evaluate(
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/cli/evaluate.py", line 75, in evaluate
    nlp = util.load_model(model)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/util.py", line 326, in load_model
    return load_model_from_path(Path(name), **kwargs)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/util.py", line 392, in load_model_from_path
    return nlp.from_disk(model_path, exclude=exclude)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/language.py", line 1883, in from_disk
    util.from_disk(path, deserializers, exclude)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/util.py", line 1176, in from_disk
    reader(path / key)
  File "/home/marzi/anaconda3/envs/spacy-tutorial/lib/python3.8/site-packages/spacy/language.py", line 1877, in <lambda>
    deserializers[name] = lambda p, proc=proc: proc.from_disk(
TypeError: from_disk() got an unexpected keyword argument 'exclude'

我使用的自定义NER类属于spacy-crfsuite库，该库在spacy 2中运行良好，但它们还没有spacy 3的示例代码，因此我正在尝试让它在spacy 3.0中运行

Answer 1

从SPACYV3.0开始，管道组件在其to_disk方法上支持exclude关键字。您可以将exclude关键字添加到函数中，给它一个默认值，并且不在函数体中使用它的值，这个错误应该得到解决

为了完整起见，这里是从v2到v3的迁移指南，其中可能包括一些其他有趣的指针：https://spacy.io/usage/v3#migrating