在 Google colab 上使用 mallet 时出现错误代码 126/127
from gensim.models.wrappers import LdaMallet
# mallet_path = 'C:/Users/kmuth/Downloads/mallet-2.0.8/bin/mallet' # update this path
mallet_path = '/content/drive/MyDrive/data/mallet/mallet-2.0.8/bin/mallet'
ldamallet = gensim.models.wrappers.LdaMallet(mallet_path, corpus=doc_term_matrix, num_topics=15, id2word=dictionary)
我目前遇到这个错误： CalledProcessError：命令'/content/drive/MyDrive/data/mallet/mallet-2.0.8/bin/mallet import-file --preserve-case --keep-sequence --remove-stopwords --token-regex "\S+ “ --input /tmp/d20b66_corpus.txt --output /tmp/d20b66_corpus.mallet' 返回非零退出状态 126。
当尝试正如我读到的那样，使用 mallet 创建一个 lda 模型比 gensim 包中内置的 lda 模型做得更好。
我正在尝试遵循本教程（尝试使用木槌位）： https://www.machinelearningplus.com/nlp/topic-modeling -gensim-python/#14computemodelperplexityandcoherencescore
我真的很感激任何帮助，因为我不知道错误是什么。是不是找不到这个文件，需要安装吗？几乎是一个菜鸟
，我试图从我的电脑和我的驱动器更改木槌路径，但没有成功。
谢谢你，肖恩
from gensim.models.wrappers import LdaMallet
# mallet_path = 'C:/Users/kmuth/Downloads/mallet-2.0.8/bin/mallet' # update this path
mallet_path = '/content/drive/MyDrive/data/mallet/mallet-2.0.8/bin/mallet'
ldamallet = gensim.models.wrappers.LdaMallet(mallet_path, corpus=doc_term_matrix, num_topics=15, id2word=dictionary)
I'm currently having this error:
CalledProcessError: Command '/content/drive/MyDrive/data/mallet/mallet-2.0.8/bin/mallet import-file --preserve-case --keep-sequence --remove-stopwords --token-regex "\S+" --input /tmp/d20b66_corpus.txt --output /tmp/d20b66_corpus.mallet' returned non-zero exit status 126.
when trying to create an lda model using mallet as i have read it somehow does a better job than the built in lda model in the gensim package.
i'm trying to follow this tutorial(to try the mallet bit):
https://www.machinelearningplus.com/nlp/topic-modeling-gensim-python/#14computemodelperplexityandcoherencescore
I would really appreciate any help as I don't have any idea to what the error is. Is it not finding the file, do I have to install it? Pretty much a noob
I have tried to change the mallet path around from my pc and from my drive with no avail.
Thank you, Sean
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IIUC，Google Colab 运行在 Google 的服务器上。
您是否将本机
mallet可执行文件（gensim.models.wrappers.LdaMallet所依赖的文件）编译/安装为笔记本可访问的路径和格式，从中Google Colab笔记本可以执行吗？ （Google Colab 中是否允许这样做？）另请注意，最新（4.0+）版本的 Gensim 已经消除了
包装器，因为使用起来有些尴尬，难以维护，并且无法使用。与其他实现有些冗余。因此，您可能需要考虑使用 Gensim 自己的LdaModel而不是这个不再受支持的另一个包的包装器。IIUC, Google Colab runs on Google's servers.
Did you compile/install the native
malletexecutable (on which thatgensim.models.wrappers.LdaMalletdepends) to a path and format – accessable to the notebook – from which the Google Colab notebook can execute it? (Is that even allowed in Google Colab?)Note also that the latest (4.0+) versions of Gensim have eliminated the
wrappersas somewhat awkward to use, hard-to-maintain, & somewhat redundant with other implementations. So you may want to consider using Gensim's ownLdaModelinstead of this no-longer-supported wrapper of another package.