小编Sou*_*ary的帖子

我正在尝试进行多类分类并使用crowdflower 文本分类数据集。以下是我的代码：

from __future__ import unicode_literals, print_function
from __future__ import unicode_literals

from pathlib import Path

import pandas as pd
import spacy
from spacy.util import minibatch, compounding




def main(model=None, output_dir=None, n_iter=20):
    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")

    # add the text classifier to the pipeline if it doesn't exist
    # nlp.create_pipe works for built-ins …