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nicolas-ivanov / debug_seq2seq

[unmaintained] Make seq2seq for keras work
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ImportError: No module named gensim.models #23

Open azureskyL opened 7 years ago

azureskyL commented 7 years ago

when I try to run train.py, the error occurs: ljy@ubuntu:~/debug_seq2seq$ python bin/train.py Traceback (most recent call last): File "bin/train.py", line 9, in from lib.w2v_model import w2v File "/home/ljy/debug_seq2seq/lib/w2v_model/w2v.py", line 4, in from gensim.models import Word2Vec ImportError: No module named gensim.models

But I has just install gensim by using sudo easy_install -U gensim Anyone could help me ?

7633 commented 7 years ago

pip install gensim

crystalajj commented 7 years ago

I have the same problem when trying to import Word2Vec

bss-t commented 7 years ago

if you are using Jupyter notebook then you can try conda install gensim, that worked for me. Try using pip3 install gensim that works too

eelectron commented 6 years ago

sudo pip3 install -U gensim Worked on my: Ubuntu 16.04 64 bit python3.5 Jupyter Notebook

johntiger1 commented 6 years ago

One thing to note is this: if you run jupyter notebook from the Anaconda command prompt/terminal, then make sure you have an environment-specific jupyter notebook version! Otherwise, it will use the global notebook, and it won't have the environmental packages you want.

puramchendrasekhar1 commented 6 years ago

getting same error in windows also , conda install gensim is not working bro!

vimalrajayyappan commented 6 years ago

Yes its not :(

Rishabh97 commented 5 years ago

Try writing conda install -c anaconda gensim in the command prompt and then continue in the jupyter notebook.

CognitiveClouds-Prasad commented 5 years ago

It is 2019. I am facing the same issue.

karlwbaker commented 5 years ago

I'm having the issue right now. I installed gensim in my conda env in 3 different ways, including using conda install -c anaconda gensim. Each time it shows as successfully installed and present in the env, but when I try to import it in jupyter notebook I get the ModuleNotFoundError: No module named 'gensim' error.

SUMMARY: 3 attempts with 3 install commands:

COMMAND                              CONDA LIST                              IMPORT IN JUPYTER NOTEBOOK
conda install -c anaconda gensim     gensim 3.4.0 py36hfa6e2cd_0 anaconda    ModuleNotFoundError: No module named 'gensim'
pip install -U gensim                gensim 3.7.3 pypi_0 pypi                ModuleNotFoundError: No module named 'gensim'
conda install -c conda-forge gensim  gensim 3.7.3 py36h6538335_0 conda-forge  ModuleNotFoundError: No module named 'gensim'

DETAILS:
Installation input/output and error below:

INSTALL GENSIM IN SARC env

(base) C:\Users\karls>conda activate SARC

(SARC) C:\Users\karls>conda install -c anaconda gensim
Collecting package metadata: done
Solving environment: done

==> WARNING: A newer version of conda exists. <==
  current version: 4.6.14
  latest version: 4.7.5

Please update conda by running

    $ conda update -n base -c defaults conda

## Package Plan ##

  environment location: C:\Users\karls\Anaconda3\envs\SARC

  added / updated specs:
    - gensim

The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    asn1crypto-0.24.0          |           py36_0         155 KB  anaconda
    boto-2.49.0                |           py36_0         1.6 MB  anaconda
    boto3-1.9.162              |             py_0          88 KB  anaconda
    botocore-1.12.163          |             py_0         3.3 MB  anaconda
    bz2file-0.98               |           py36_1          13 KB  anaconda
    ca-certificates-2019.5.15  |                0         166 KB  anaconda
    certifi-2019.6.16          |           py36_0         155 KB  anaconda
    cffi-1.12.3                |   py36h7a1dbc1_0         225 KB  anaconda
    chardet-3.0.4              |           py36_1         210 KB  anaconda
    cryptography-2.7           |   py36h7a1dbc1_0         564 KB  anaconda
    docutils-0.14              |   py36h6012d8f_0         695 KB  anaconda
    gensim-3.4.0               |   py36hfa6e2cd_0        21.4 MB  anaconda
    idna-2.8                   |           py36_0         134 KB  anaconda
    jmespath-0.9.4             |             py_0          22 KB  anaconda
    openssl-1.1.1              |       he774522_0         5.7 MB  anaconda
    pycparser-2.19             |           py36_0         174 KB  anaconda
    pyopenssl-19.0.0           |           py36_0          82 KB  anaconda
    pysocks-1.7.0              |           py36_0          30 KB  anaconda
    requests-2.22.0            |           py36_0          90 KB  anaconda
    s3transfer-0.2.0           |           py36_0          93 KB  anaconda
    smart_open-1.8.4           |             py_0          55 KB  anaconda
    urllib3-1.24.2             |           py36_0         153 KB  anaconda
    vc-14.1                    |       h21ff451_3           5 KB  anaconda
    vs2015_runtime-15.5.2      |                3         2.2 MB  anaconda
    win_inet_pton-1.1.0        |           py36_0           9 KB  anaconda
    ------------------------------------------------------------
                                           Total:        37.3 MB

The following NEW packages will be INSTALLED:

  asn1crypto         anaconda/win-64::asn1crypto-0.24.0-py36_0
  boto               anaconda/win-64::boto-2.49.0-py36_0
  boto3              anaconda/noarch::boto3-1.9.162-py_0
  botocore           anaconda/noarch::botocore-1.12.163-py_0
  bz2file            anaconda/win-64::bz2file-0.98-py36_1
  cffi               anaconda/win-64::cffi-1.12.3-py36h7a1dbc1_0
  chardet            anaconda/win-64::chardet-3.0.4-py36_1
  cryptography       anaconda/win-64::cryptography-2.7-py36h7a1dbc1_0
  docutils           anaconda/win-64::docutils-0.14-py36h6012d8f_0
  gensim             anaconda/win-64::gensim-3.4.0-py36hfa6e2cd_0
  idna               anaconda/win-64::idna-2.8-py36_0
  jmespath           anaconda/noarch::jmespath-0.9.4-py_0
  pycparser          anaconda/win-64::pycparser-2.19-py36_0
  pyopenssl          anaconda/win-64::pyopenssl-19.0.0-py36_0
  pysocks            anaconda/win-64::pysocks-1.7.0-py36_0
  requests           anaconda/win-64::requests-2.22.0-py36_0
  s3transfer         anaconda/win-64::s3transfer-0.2.0-py36_0
  smart_open         anaconda/noarch::smart_open-1.8.4-py_0
  urllib3            anaconda/win-64::urllib3-1.24.2-py36_0
  win_inet_pton      anaconda/win-64::win_inet_pton-1.1.0-py36_0

The following packages will be UPDATED:

  certifi                pkgs/main::certifi-2019.3.9-py36_0 --> anaconda::certifi-2019.6.16-py36_0
  openssl              pkgs/main::openssl-1.1.1c-he774522_1 --> anaconda::openssl-1.1.1-he774522_0
  vs2015_runtime     pkgs/main::vs2015_runtime-14.15.26706~ --> anaconda::vs2015_runtime-15.5.2-3

The following packages will be SUPERSEDED by a higher-priority channel:

  ca-certificates                                 pkgs/main --> anaconda
  vc                          pkgs/main::vc-14.1-h0510ff6_4 --> anaconda::vc-14.1-h21ff451_3

Proceed ([y]/n)? y

Downloading and Extracting Packages
bz2file-0.98         | 13 KB     | ############################################################################ | 100%
chardet-3.0.4        | 210 KB    | ############################################################################ | 100%
pyopenssl-19.0.0     | 82 KB     | ############################################################################ | 100%
gensim-3.4.0         | 21.4 MB   | ############################################################################ | 100%
pycparser-2.19       | 174 KB    | ############################################################################ | 100%
vc-14.1              | 5 KB      | ############################################################################ | 100%
cryptography-2.7     | 564 KB    | ############################################################################ | 100%
idna-2.8             | 134 KB    | ############################################################################ | 100%
urllib3-1.24.2       | 153 KB    | ############################################################################ | 100%
win_inet_pton-1.1.0  | 9 KB      | ############################################################################ | 100%
boto-2.49.0          | 1.6 MB    | ############################################################################ | 100%
pysocks-1.7.0        | 30 KB     | ############################################################################ | 100%
cffi-1.12.3          | 225 KB    | ############################################################################ | 100%
ca-certificates-2019 | 166 KB    | ############################################################################ | 100%
botocore-1.12.163    | 3.3 MB    | ############################################################################ | 100%
asn1crypto-0.24.0    | 155 KB    | ############################################################################ | 100%
openssl-1.1.1        | 5.7 MB    | ############################################################################ | 100%
requests-2.22.0      | 90 KB     | ############################################################################ | 100%
vs2015_runtime-15.5. | 2.2 MB    | ############################################################################ | 100%
docutils-0.14        | 695 KB    | ############################################################################ | 100%
smart_open-1.8.4     | 55 KB     | ############################################################################ | 100%
s3transfer-0.2.0     | 93 KB     | ############################################################################ | 100%
certifi-2019.6.16    | 155 KB    | ############################################################################ | 100%
boto3-1.9.162        | 88 KB     | ############################################################################ | 100%
jmespath-0.9.4       | 22 KB     | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(SARC) C:\Users\karls>

conda list shows that gensim is installed:


(base) C:\Users\karls>conda activate SARC

(SARC) C:\Users\karls>conda list
# packages in environment at C:\Users\karls\Anaconda3\envs\SARC:
#
# Name                    Version                   Build  Channel
_tflow_select             2.3.0                       mkl
absl-py                   0.7.1                    py36_0
asn1crypto                0.24.0                   py36_0    anaconda
astor                     0.7.1                    py36_0
blas                      1.0                         mkl
boto                      2.49.0                   py36_0    anaconda
boto3                     1.9.162                    py_0    anaconda
botocore                  1.12.163                   py_0    anaconda
bz2file                   0.98                     py36_1    anaconda
ca-certificates           2019.5.15                     0    anaconda
certifi                   2019.6.16                py36_0    anaconda
cffi                      1.12.3           py36h7a1dbc1_0    anaconda
chardet                   3.0.4                    py36_1    anaconda
cryptography              2.7              py36h7a1dbc1_0    anaconda
docutils                  0.14             py36h6012d8f_0    anaconda
gast                      0.2.2                    py36_0
gensim                    3.4.0            py36hfa6e2cd_0    anaconda
grpcio                    1.16.1           py36h351948d_1
h5py                      2.9.0            py36h5e291fa_0
hdf5                      1.10.4               h7ebc959_0
icc_rt                    2019.0.0             h0cc432a_1
idna                      2.8                      py36_0    anaconda
intel-openmp              2019.4                      245
jmespath                  0.9.4                      py_0    anaconda
keras                     2.2.4                         0
keras-applications        1.0.8                      py_0
keras-base                2.2.4                    py36_0
keras-preprocessing       1.1.0                      py_1
libmklml                  2019.0.3                      0
libprotobuf               3.8.0                h7bd577a_0
markdown                  3.1.1                    py36_0
mkl                       2019.4                      245
mkl_fft                   1.0.12           py36h14836fe_0
mkl_random                1.0.2            py36h343c172_0
mock                      3.0.5                    py36_0
nltk                      3.4.1                    py36_0
numpy                     1.16.4           py36h19fb1c0_0
numpy-base                1.16.4           py36hc3f5095_0
openssl                   1.1.1                he774522_0    anaconda
pandas                    0.24.2           py36ha925a31_0
pip                       19.1.1                   py36_0
protobuf                  3.8.0            py36h33f27b4_0
pycparser                 2.19                     py36_0    anaconda
pyopenssl                 19.0.0                   py36_0    anaconda
pyreadline                2.1                      py36_1
pysocks                   1.7.0                    py36_0    anaconda
python                    3.6.8                h9f7ef89_7
python-dateutil           2.8.0                    py36_0
pytz                      2019.1                     py_0
pyyaml                    5.1              py36he774522_0
requests                  2.22.0                   py36_0    anaconda
s3transfer                0.2.0                    py36_0    anaconda
scipy                     1.2.1            py36h29ff71c_0
setuptools                41.0.1                   py36_0
six                       1.12.0                   py36_0
smart_open                1.8.4                      py_0    anaconda
sqlite                    3.28.0               he774522_0
tensorboard               1.13.1           py36h33f27b4_0
tensorflow                1.13.1          mkl_py36hd212fbe_0
tensorflow-base           1.13.1          mkl_py36hcaf7020_0
tensorflow-estimator      1.13.0                     py_0
termcolor                 1.1.0                    py36_1
urllib3                   1.24.2                   py36_0    anaconda
vc                        14.1                 h21ff451_3    anaconda
vs2015_runtime            15.5.2                        3    anaconda
werkzeug                  0.15.4                     py_0
wheel                     0.33.4                   py36_0
win_inet_pton             1.1.0                    py36_0    anaconda
wincertstore              0.2              py36h7fe50ca_0
yaml                      0.1.7                hc54c509_2
zlib                      1.2.11               h62dcd97_3

But when I try to import gensim in a jupyter notebook in the evironment I get a ModuleNotFoundError: No module named 'gensim' error:


---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-e92e291fb8cb> in <module>
      1 import loader
      2 import reader
----> 3 import transformers
      4 import vectorization

~\OneDrive\Documents\ds\courses_books\Applied_Text_Analysis_Python_book_code\atap-master\snippets\ch04\transformers.py in <module>
      3 import os
      4 import nltk
----> 5 import gensim
      6 import unicodedata
      7 

ModuleNotFoundError: No module named 'gensim'

I then tried pip install -U gensim.

This replaced the gensim 3.4 installed by conda install -c anaconda gensim with gensim 3.7 from pypi:

conda list

. . .
gensim                    3.7.3                    pypi_0    pypi
. . .

But still I get the error when I try to import

shishir13 commented 5 years ago

Have gone through similar steps like @karlwbaker but still no luck. :(

shishir13 commented 5 years ago

conda install -c conda-forge gensim worked for me.

karlwbaker commented 5 years ago

I solved the problem I was having (above). Gensim was fine. The problem was that I didn't have jupyter installed in the Anaconda env so it was using the version from the base install, which was for a later version of python. Installing jupyter in the env with gensim solved the problem.

Added note:
A practice I learned from the comments to my SO question on this issue is to launch jupyter notebook with python -m jupyter notebook. Doing so seems to enforce a rule to only import modules that have been installed in the active env, rather than importing from the base env when the module does not exist in the active env. This makes explicit exactly which versions of libraries are being used. See https://stackoverflow.com/q/56910538/9677043 for further deets.

lizweisx commented 4 years ago

It is 2020. I tried all solutions above but still :(

esitharth commented 3 years ago

I also face the same issue.

motazsaad commented 3 years ago

it is 2021 and still the same issue

glorelvalle commented 3 years ago

It will be 2030, and same issue.

Edit, 20 min later:

That worked for me. Good luck.

vineethreddychalla9 commented 3 years ago

"conda install -c conda-forge gensim" has solved my issue when I am trying to import word2vec

lakchchayam commented 3 years ago

image

😂😂🤣🤣

lakchchayam commented 3 years ago

It will be 2030, and same issue.

Edit, 20 min later:

  • Downgrade, pip3 install gensim==3.8.3
  • If using jupyter, rerun with python -m jupyter notebook

That worked for me. Good luck.

🤣🤣

Mohamad1994HD commented 3 years ago

Still facing same issue,

using pipenv virtual environment with python3.7.x

tried gensim 4.x and 3.x non worked, same error message

07Agarg commented 2 years ago

I have installed gensim with the command: conda install -c conda-forge gensim

But I am getting the error while importing the library gensim.viz from gensim.viz.poincare import poincare_2d_visualization

The exact error is: ModuleNotFoundError: No module named 'gensim.viz' How to resolve this issue?

lakchchayam commented 2 years ago

That may be due to version error