使用python构建LDA模型时的报错应对思路_attributeerror: module 'pyldavis' has no attribute

可视化：

pyLDAvis和sklearn以及gensim的公式有问题？

下载sklearn要下Scikit-learn，

pip install scikit-learn

高版本pyLDAvis或gensim改了用法，回退旧版

data = pyLDAvis.sklearn.prepare(lda, tf_idf, tf_idf_vectorizer)

↑这个报错

ERROR: Could not build wheels for gensim, which is required to install pyproject.toml-based projects
尝试按照上面的要求安装 

error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/

（实际上基本所有的报错都在可视化这一个区域了）

决定回退旧版pyLDAvis

解决方案：LDA模型用pyLDAvis进行可视化遇到的问题及解决方法_typeerror: drop() takes from 1 to 2 positional arg-CSDN博客

安装旧版之后依然报错AttributeError: module 'pyLDAvis' has no attribute 'sklearn'

• pip install pandas==1.3.3  失败 note: This error originates from a subprocess, and is likely not a problem with pip.

• 还原pip默认下载地址试试

• × pip subprocess to install build dependencies did not run successfully.
   

• error: subprocess-exited-with-error

• AttributeError: module 'pyLDAvis' has no attribute 'sklearn'

• 目前gensim和sklearn安装显示缺失whl

• pandas显示需要visual studio