打开我的笔记本时出现以下验证错误:
{ “元数据”:{ “信任”:真实 }, "id": "比较导入", "cell_type": "代码", "source": "import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nimport nltk\nimport re\nimport gensim \nfrom gensim.utils import simple_preprocess\nfrom gensim.models.word2vec import Word2Vec\nfrom nltk.stem.porter import PorterStemmer\nfrom nltk.corpus import stopwords\nfrom sklearn.decomposition import PCA,TruncatedSVD\nfrom sklearn.manifold import TSNE\nfrom sklearn.model_selection import train_test_split\nfrom sklearnisticRelinear_model from wordpress\nfrom sklearn.decomposition import PCA\nfrom导入 WordCloud、STOPWORDS、ImageColorGenerator\n", "execution_count": 10, “输出”:[] }
答案 0 :(得分:0)
你的笔记本只是一堆导入你可以很容易地重新创建这次我为你做的:
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Untitled5.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "code",
"metadata": {
"id": "CRAF2wibMCRq"
},
"source": [
"import numpy as np \n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import nltk\n",
"import re\n",
"import gensim \n",
"from gensim.utils import simple_preprocess\n",
"from gensim.models.word2vec import Word2Vec\n",
"from nltk.stem.porter import PorterStemmer\n",
"from nltk.corpus import stopwords\n",
"from sklearn.decomposition import PCA,TruncatedSVD\n",
"from sklearn.manifold import TSNE\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.linear_model import LogisticRegression \n",
"from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator"
],
"execution_count": null,
"outputs": []
}
]
}
答案 1 :(得分:0)
我通过复制单元格的内容而不是单元格本身来解决上述问题。我一直在使用多个笔记本,出现了一些应付粘贴问题