python - 包装器的 Gensim 模块属性错误

Question

我将找到 LDA 的最佳主题数。为此，我使用了 GENSIM 如下:

def compute_coherence_values(dictionary, corpus, texts, limit, start=2, step=3):
    coherence_values = []
    model_list = []
    for num_topics in range(start, limit, step):
        model = gensim.models.wrappers.LdaMallet(mallet_path, corpus=corpus, num_topics=num_topics, id2word=id2word)
        model_list.append(model)
        coherencemodel = CoherenceModel(model=model, texts=texts, dictionary=dictionary, coherence='c_v')
        coherence_values.append(coherencemodel.get_coherence())

    return model_list, coherence_values

    

但是我有一个属性错误:我使用了 spyder。

AttributeError: module 'gensim.models' has no attribute 'wrappers'

Answer 1

最新的主要 Gensim 版本 4.0 删除了 wrappers其他库算法。每 "Migrating from Gensim 3.x to 4" wiki page :

15. Removed third party wrappers

These wrappers of 3rd party libraries required too much effort. There were no volunteers to maintain andsupport them properly in Gensim.

If your work depends on any of the modules below, feel free to copy itout of Gensim 3.8.3 (the last release where they appear), and extend &maintain the wrapper yourself.

The removed submodules are:

- gensim.models.wrappers.dtmmodel
- gensim.models.wrappers.ldamallet
- gensim.models.wrappers.ldavowpalwabbit
- gensim.models.wrappers.varembed
- gensim.models.wrappers.wordrank
- gensim.sklearn_api.atmodel
- gensim.sklearn_api.d2vmodel
- gensim.sklearn_api.ftmodel
- gensim.sklearn_api.hdp
- gensim.sklearn_api.ldamodel
- gensim.sklearn_api.ldaseqmodel
- gensim.sklearn_api.lsimodel
- gensim.sklearn_api.phrases
- gensim.sklearn_api.rpmodel
- gensim.sklearn_api.text2bow
- gensim.sklearn_api.tfidf
- gensim.sklearn_api.w2vmodel
- gensim.viz

如果您迫切需要旧的支持，您还可以考虑安装和使用旧的 Gensim。 (例如，通过 pip 、 pip install gensim==3.8.3 。)但一般来说，最新版本将得到最好的支持。