Generating Map vectors isn't successful,

[rsuwaileh]

Hello,

I'm trying to run the code in Oracle mode. I imported all required libraries into conda env, showing its .yml content below.

However, running the text2mapVec.py gives a vector of zeros, while I expected it to be something like the content of file eval_lgl.txt? How to generate file like data/eval_<dataset>.txt (e.g., data/eval_lgl.txt)?

python text2mapVec.py
output: [0. 0. 0. ... 0. 0. 0.]

What could be the reason?

name: CamCoder
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - ca-certificates=2022.4.26=h06a4308_0
  - certifi=2020.6.20=pyhd3eb1b0_3
  - libffi=3.3=he6710b0_2
  - libgcc-ng=11.2.0=h1234567_0
  - libgomp=11.2.0=h1234567_0
  - libstdcxx-ng=11.2.0=h1234567_0
  - ncurses=6.3=h7f8727e_2
  - pip=19.3.1=py27_0
  - python=2.7.18=ha1903f6_2
  - readline=8.1.2=h7f8727e_1
  - setuptools=44.0.0=py27_0
  - sqlite=3.38.3=hc218d9a_0
  - tk=8.6.11=h1ccaba5_1
  - wheel=0.37.1=pyhd3eb1b0_0
  - zlib=1.2.12=h7f8727e_2
  - pip:
    - absl-py==0.15.0
    - astor==0.8.1
    - backports-functools-lru-cache==1.6.4
    - backports-weakref==1.0.post1
    - bleach==1.5.0
    - chardet==4.0.0
    - contextlib2==0.6.0.post1
    - cycler==0.10.0
    - cymem==1.31.2
    - cytoolz==0.9.0.1
    - dill==0.2.9
    - en-core-web-lg==2.0.0
    - en-core-web-sm==2.0.0
    - enum34==1.1.10
    - ftfy==4.4.3
    - funcsigs==1.0.2
    - futures==3.3.0
    - gast==0.5.3
    - geographiclib==1.52
    - geopy==1.23.0
    - grpcio==1.41.1
    - h5py==2.10.0
    - html5lib==0.9999999
    - idna==2.10
    - importlib-resources==3.3.1
    - keras==2.2.0
    - keras-applications==1.0.2
    - keras-preprocessing==1.0.1
    - kiwisolver==1.1.0
    - markdown==3.1.1
    - matplotlib==2.2.5
    - mock==3.0.5
    - msgpack==0.6.2
    - msgpack-numpy==0.4.7.1
    - msgpack-python==0.5.6
    - murmurhash==0.28.0
    - numpy==1.16.6
    - pathlib==1.0.1
    - pathlib2==2.3.7.post1
    - plac==0.9.6
    - preshed==1.0.1
    - protobuf==3.17.3
    - pyparsing==2.4.7
    - python-dateutil==2.8.2
    - pytz==2022.1
    - pyyaml==5.4.1
    - regex==2017.4.5
    - requests==2.27.1
    - scandir==1.10.0
    - scipy==1.2.3
    - singledispatch==3.7.0
    - six==1.16.0
    - spacy==2.0.0
    - subprocess32==3.5.4
    - tensorboard==1.8.0
    - tensorflow==1.8.0
    - termcolor==1.1.0
    - thinc==6.10.3
    - toolz==0.10.0
    - tqdm==4.64.0
    - typing==3.10.0.0
    - ujson==2.0.3
    - urllib3==1.26.9
    - wcwidth==0.2.5
    - werkzeug==1.0.1
    - wrapt==1.10.11
    - zipp==1.2.0

[milangritta]

Hi there, sorry, I don't know why it's not working for you. I don't think it's the environment. It's most likely something to do with your data or the way you're using the script. The returned sparse vector will always be more than 99% zeros, that's normal. I would debug the script in Pycharm with your input files if I were you. There isn't much going on so should be easy to diagnose. Hope this helps.