A jupyter notebook cannot import dirichlet_likelihood.py from lda2vec.
This py file exists in github for the current lda2vec.
I installed the module and opened the workbook, then attempted to run it. I suspect there is a very simple reason for my problem.
The notebook is https://github.com/cemoody/lda2vec/blob/master/examples/twenty_newsgroups/lda2vec/lda2vec.ipynb
When I try the below at the python command-line (in the current environment) it does not give the below error and instead it wanted keras, which I installed. On the command line it says it cannot import preprocess.
uname -a
Linux ubuntu 4.18.0-15-generic #16~18.04.1-Ubuntu SMP Thu Feb 7 14:06:04 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux
sudo apt-get install python3-venv
python3.6 -m venv .env
source .env/bin/activate
pip install --upgrade pip
pip install jupyter
pip install lda2vec
from lda2vec import preprocess, Corpus
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-4-2b87256bea6b> in <module>
----> 1 from lda2vec import preprocess, Corpus
2 import matplotlib.pyplot as plt
3 import numpy as np
4 get_ipython().run_line_magic('matplotlib', 'inline')
5
~/.env/lib/python3.6/site-packages/lda2vec/__init__.py in <module>
----> 1 import lda2vec.dirichlet_likelihood as dirichlet_likelihood
2 import lda2vec.embedding_mixture as embedding_mixture
3 from lda2vec.Lda2vec import Lda2vec as model
4 import lda2vec.word_embedding as word_embedding
5 import lda2vec.nlppipe as nlppipe
AttributeError: module 'lda2vec' has no attribute 'dirichlet_likelihood'
python
from lda2vec import preprocess, Corpus
Using TensorFlow backend.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: cannot import name 'preprocess'
EDIT
I got it work by doing these things - Get ubuntu-18.04.2-desktop-amd64.iso - Have BIOS virtualisation settings changed for hyper-V - Make a VM in VMWare - Increase memory to 3G - Give it 40G of disk
Then in a terminal
sudo apt install python2.7
sudo apt install python-pip
pip install virtualenv
Mkdir 2.7env
Cd 2.7env
python2.7 -m venv .env
python2.7 -m virtualenv .env
source .env/bin/activate
pip install --upgrade pip
pip install jupyter
pip install -U spacy
python -m spacy download en
pip install wheel nltk gensim pyLDAvis lda2vec
sudo apt install git
git clone https://github.com/cemoody/lda2vec.git
cp ~/lda2vec/build/lib.linux-x86_64-2.7/lda2vec/corpus.py ~/2.7env/.env/lib/python2.7/site-packages/lda2vec/Corpus.py
cp ~/lda2vec/build/lib.linux-x86_64-2.7/lda2vec/preprocess.py ~/2.7env/.env/lib/python2.7/site-packages/lda2vec/preprocess.py
python -m pip install ipykernel
python -m ipykernel install --user
python lda2vec/examples/twenty_newsgroups/lda2vec/lda2vec_run.py
cd lda2vec/examples/twenty_newsgroups/lda2vec/
jupyter notebook
change the kernel to 2
In firefox open lda2vec.ipynb
As above, I am now stuck trying to get it to re-create the twenty_newsgroups npz file so I can eventually provide my own content. In case anyone out there understands this better, I suspect trying to run this script on VM with little RAM might be the problem but the error is reported as
(.env) craig@ubuntu:~/whcjimmy/lda2vec/examples/twenty_newsgroups/data$ python preprocess.py
Traceback (most recent call last):
File "preprocess.py", line 31, in <module>
n_threads=4)
File "/home/craig/whcjimmy/.env/lib/python3.6/site-packages/lda2vec-0.1-py3.6.egg/lda2vec/preprocess.py", line 104, in tokenize
vocab = {v: nlp.vocab[v].lower_ for v in uniques if v != skip}
File "/home/craig/whcjimmy/.env/lib/python3.6/site-packages/lda2vec-0.1-py3.6.egg/lda2vec/preprocess.py", line 104, in <dictcomp>
vocab = {v: nlp.vocab[v].lower_ for v in uniques if v != skip}
File "vocab.pyx", line 242, in spacy.vocab.Vocab.__getitem__
File "lexeme.pyx", line 44, in spacy.lexeme.Lexeme.__init__
File "vocab.pyx", line 157, in spacy.vocab.Vocab.get_by_orth
File "strings.pyx", line 138, in spacy.strings.StringStore.__getitem__
KeyError: "[E018] Can't retrieve string for hash '9243420536193520'. This usually refers to an issue with the `Vocab` or `StringStore`."