Attribute: Modul ‚spacigen‘ hat kein Attribut ‚blank‘

Question

Ich versuche, den Beispielcode auszuführen: von der Website https://spacy.io/usage/training#textcat

#!/usr/bin/env python 
# coding: utf8 
"""Example of training spaCy's named entity recognizer, starting off with an 
existing model or a blank model. 

For more details, see the documentation: 
* Training: https://spacy.io/usage/training 
* NER: https://spacy.io/usage/linguistic-features#named-entities 

Compatible with: spaCy v2.0.0+ 
""" 
from __future__ import unicode_literals, print_function 

import plac 
import random 
from pathlib import Path 
import spacy 


# training data 
TRAIN_DATA = [ 
    ('Who is Shaka Khan?', { 
     'entities': [(7, 17, 'PERSON')] 
    }), 
    ('I like London and Berlin.', { 
     'entities': [(7, 13, 'LOC'), (18, 24, 'LOC')] 
    }) 
] 


@plac.annotations(
    model=("Model name. Defaults to blank 'en' model.", "option", "m", str), 
    output_dir=("Optional output directory", "option", "o", Path), 
    n_iter=("Number of training iterations", "option", "n", int)) 
def main(model=None, output_dir=None, n_iter=100): 
    """Load the model, set up the pipeline and train the entity recognizer.""" 
    if model is not None: 
     nlp = spacy.load(model) # load existing spaCy model 
     print("Loaded model '%s'" % model) 
    else: 
     nlp = spacy.blank('en') # create blank Language class 
     print("Created blank 'en' model") 

    # create the built-in pipeline components and add them to the pipeline 
    # nlp.create_pipe works for built-ins that are registered with spaCy 
    if 'ner' not in nlp.pipe_names: 
     ner = nlp.create_pipe('ner') 
     nlp.add_pipe(ner, last=True) 
    # otherwise, get it so we can add labels 
    else: 
     ner = nlp.get_pipe('ner') 

    # add labels 
    for _, annotations in TRAIN_DATA: 
     for ent in annotations.get('entities'): 
      ner.add_label(ent[2]) 

    # get names of other pipes to disable them during training 
    other_pipes = [pipe for pipe in nlp.pipe_names if pipe != 'ner'] 
    with nlp.disable_pipes(*other_pipes): # only train NER 
     optimizer = nlp.begin_training() 
     for itn in range(n_iter): 
      random.shuffle(TRAIN_DATA) 
      losses = {} 
      for text, annotations in TRAIN_DATA: 
       nlp.update(
        [text], # batch of texts 
        [annotations], # batch of annotations 
        drop=0.5, # dropout - make it harder to memorise data 
        sgd=optimizer, # callable to update weights 
        losses=losses) 
      print(losses) 

    # test the trained model 
    for text, _ in TRAIN_DATA: 
     doc = nlp(text) 
     print('Entities', [(ent.text, ent.label_) for ent in doc.ents]) 
     print('Tokens', [(t.text, t.ent_type_, t.ent_iob) for t in doc]) 

    # save model to output directory 
    if output_dir is not None: 
     output_dir = Path(output_dir) 
     if not output_dir.exists(): 
      output_dir.mkdir() 
     nlp.to_disk(output_dir) 
     print("Saved model to", output_dir) 

     # test the saved model 
     print("Loading from", output_dir) 
     nlp2 = spacy.load(output_dir) 
     for text, _ in TRAIN_DATA: 
      doc = nlp2(text) 
      print('Entities', [(ent.text, ent.label_) for ent in doc.ents]) 
      print('Tokens', [(t.text, t.ent_type_, t.ent_iob) for t in doc]) 


if __name__ == '__main__': 
    plac.call(main) 

    # Expected output: 
    # Entities [('Shaka Khan', 'PERSON')] 
    # Tokens [('Who', '', 2), ('is', '', 2), ('Shaka', 'PERSON', 3), 
    # ('Khan', 'PERSON', 1), ('?', '', 2)] 
    # Entities [('London', 'LOC'), ('Berlin', 'LOC')] 
    # Tokens [('I', '', 2), ('like', '', 2), ('London', 'LOC', 3), 
    # ('and', '', 2), ('Berlin', 'LOC', 3), ('.', '', 2)] 

Aber ich erhalte den folgenden Fehler: Attribute: Modul ‚spacigen‘ hat keine Attribut 'leer'

Traceback (most recent call last): 
    File "trainNer.py", line 98, in <module> 
    plac.call(main) 
    File "C:\Users\M63C755\AppData\Local\Continuum\anaconda3\lib\site-packages\plac_core.py", line 328, in call 
    cmd, result = parser.consume(arglist) 
    File "C:\Users\M63C755\AppData\Local\Continuum\anaconda3\lib\site-packages\plac_core.py", line 207, in consume 
    return cmd, self.func(*(args + varargs + extraopts), **kwargs) 
    File "trainNer.py", line 41, in main 
    nlp = spacy.blank('en') # create blank Language class 
AttributeError: module 'spacy' has no attribute 'blank' 

Die spacy Website sagt mir nicht viel. blank scheint in keiner der Dateien zu sein, nur in den Beispielen. Ich habe gerade spacy Version 1.9.0 heruntergeladen. Also würde man annehmen, dass es leer ist, um da drin zu sein.

Auch ich habe nichts am Code geändert, habe es nur zum ersten Mal versucht. Ich bin mir nicht ganz sicher, was Blanko wohl tun soll. Es scheint, als sollte es ein alternatives Modell initiieren. Allerdings kenne ich das Format dieses alternativen Modells nicht. Ich dachte daran, das Attribut blank selbst hinzuzufügen, aber ich kenne nicht einmal den Rückgabewert des leeren Attributs.

Weiß jemand, wie man dieses Problem löst?

Answer 1

Aktualisierung auf Version v2 + behebt dieses Problem.