Sorry that I don't have enough reputation to post images.
The main problem is that it tells me that I need to install a C compiler and reinstall gensim or the train will be slow, and in fact it is really slow.
I have installed mingw32, Visual Studio 2008, and have added the mingw32 environment variable to my path.
Any ideas on how to solve it?
Just as you I installed mingw32 and added MinGW\bin to my PATH variable. I then uninstalled gensim with pip uninstall gensim and tried reinstalling with pip install gensim. That however gave the same warning so instead I downloaded gensim-0.12.3.tar.gz from here. I unzipped the archive and also the inner one, opened a cmd window in the folder and ran python setup.py install to install gensim. Now I could already from the output see that it could see the MinGW install. It installed correctly and I could run gensim without the warning and much faster.
Similar to user1151923, after adding MinGW\bin to my path variable and uninstalling\reinstalling gensim through pip, I still received the same warning message. I ran the following code to fix this problem (installed gensim from conda).
pip uninstall gensim
conda install gensim
I had the same problem and tried many solutions, but none of them worked except degrading to gensim version 3.7.1.
When I installed it from conda-forge then I obtained a version that is already compiled and fast:
conda install -c conda-forge gensim
Related
I use Python and pycharm as a tool.
If you use the pip statement to install the library, you will get an error.
For example, if I want to download the torch (1.6.0) version and type pip install torch==1.6.0,
It says no version.
This is not the end, but some libraries continue to cause strange conflicts and will not be installed.
For example, if you type pip install poro to install the poro library, an unknown error pops up and the installation fails.
I'm not asking for a pororo installation.
My question is, I want to know how to download the library without relying on pycharm.
I want to download it separately from a site like pypi and put the library directly into the virtual environment (conda).
What should I do?
The following worked for me:
First, install mkl using conda:
conda install -c anaconda mkl
Then run this:
conda install -c pytorch pytorch
The Mac Book Air M1 chip doesn't seem to support pep517 according to the errors of installing third-party libraries with pip or brew. Even using these methods without pep517 downloading the library locally didn't work. How does one circumvent this?
Error from using pip install pandas:
Failed to build numpy
ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
I've tried this:
pip install <lib>
installing the library locally and trying to install with pip without pep517
brew install <lib>
openblas installation of lib
python env on the intel venv
I had the exact same problem, with a different library but with the same error code for PEP 517, I was using python 3.9 at the time, I checked the docs and found out that it's a problem with the python version for the library, downgraded to Python 3.6 and voila! it worked.
Basically try downgrading to Python 3.6 and check.
Installing python libraries through Anaconda seems to work. I simply downloaded the installer and could later use the libraries globally. If someone has a better in-depth explanation, feel free to comment.
I was having the same message when trying to install a different package. I solved by removing the CommandLineTools and installing it again. The steps were:
sudo rm -r /Library/Developer/CommandLineTools
wait for command prompt...
xcode-select --install
This solved the issue for me.
I use pip to install lightgbm on windows,Does it work?
Since I have an error while importing LGBMRegressor.
The error shows as below
"cannot import name 'LGBMRegressor'"
I tried installing it using an anaconda environment and was able to install it successfully.
Open Anaconda prompt and type:
conda install -c conda-forge lightgbm
It will take a few minutes for installation.
I am writing an answer as I don't have enough reputation to leave a comment yet. Valid solutions have been offered but I think that some subtleties should be addressed for those that come here and are new(ish) to Python.
There are differences between pip and conda and if I understand it well, one ought to keep using conda as much as possible within their conda environments to avoid running into time-wasting package conflicts. I advise you read this article to get a better grasp on which does what. Myth #2 and #10 are particularly relevant here.
For Lightgbm the obvious solution is to use conda-forge as mentioned above. That is if you are running a conda environment, be it anaconda or miniconda. But you should be aware that for the moment anaconda distribution (AD) and conda-forge (CF) are not 100% compatible, as you can read in this thread. From their own words:
Conda-forge and The Anaconda Distribution are incompatible with each other at present.
...Please pick one or the other for now. CF or AD, never both.
So far it seems not to be a problem for lightbgm though.
Happy coding!
I used this and it worked for me even with Python 3.6
import sys
!{sys.executable} -m pip install lightgbm
Not able to install gensim on windows.Please help me I need to gensim Immediately and tell me installation steps with More details and other software that needs to be installed before it. thanks
First you need to install NumPy then SciPy and then Gensim (assuming you already have Python installed). I used Python 3.4 as I find it easier to install SciPy using version 3.4.
Step 1) Install Numpy:
Download numpy‑1.13.1+mkl‑cp34‑cp34m‑win32.whl from here
note that in cp34-cp34m 34 is version of Python you are using. So download appropriate file
Open command prompt and go the folder in which you just downloaded the file and install Numpy using following command:
pip install numpy‑1.13.1+mkl‑cp34‑cp34m‑win32.whl
You should get successfully installed numpy message
Step 2) Install SciPy:
Follow the same link as above and download the scipy‑0.19.1‑cp34‑cp34m‑win32.whl file.
Install it using the same instructions than in Step 1 but with this file name. The command is the following:
pip install scipy‑0.19.1‑cp34‑cp34m‑win32.whl
You should get this message successfully installed scipy
Step 3) Install gensim:
Follow the link in step 1 and download gensim‑2.3.0‑cp34‑cp34m‑win32.whl (the appropriate version for your system)
Install it using the instructions in Step 1 (with this file name) with following command:
pip install gensim‑2.3.0‑cp34‑cp34m‑win32.whl
You should get this message successfully installed gensim
Now in a Python shell try:
import gensim
It should be successfully imported
NOTES:
Make sure pip is in your environment variables (add C:\python34\scripts to your environment variable).
Make sure to download all the packages according to the Python version you are using.
gensim depends on scipy and numpy.You must have them installed prior to installing gensim. Simple way to install gensim in windows is, open cmd and type
pip install -U gensim
Or download gensim for windows from
https://pypi.python.org/pypi/gensim
then run
python setup.py test
python setup.py install
I struggled with this a bit today trying to figure out if I needed a python 2.7 environment or if I could use my 3.5. I ended up doing this from an Anaconda 3.5 install:
conda install -c anaconda gensim=0.12.4
After a few hours of trying various things, suddenly it all worked on 3.5. My error was that it kept failing to install Scipy. I tried starting over with the conda install and just worked.
See: https://anaconda.org/anaconda/gensim
I strongly suggest using anaconda where the installation of all the packages is very easy.
The command for installing genism and all of its necessary packages on windows using anaconda python 3.7 is below.
conda install -c anaconda gensim
I followed the instruction on https://radimrehurek.com/gensim/install.html which then successfully installed the fast version of Gensim (3.8.0) on Windows:
conda install -c conda-forge gensim
PS:
The following did NOT install the fast version on Windows:
conda install gensim
After attempting some of the above ideas, there was still a "hiccup" with gensim but the error was something else related to punkt. The following (where the interest is the second line)...
import nltk
nltk.download('punkt')
import numpy
import scipy
import gensim
...did the trick. I used conda and not pip but do not believe that mattered.
Versions: latest python
Machine: Windows 10 (latest updates as of 8/2020)
I am trying to follow to the installation guide on tensorflow.org and have installed Python version 2 again for that reason using Homebrew.
When I run the installation as described
$ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
I get this error message:
tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
I am obviously doing something wrong, but have no idea. Any clues?
I do not want to use virtualenv, since anaconda already comes with its own environment management conda. When installing the newest version 0.6.0 directly with pip install, I had a similar error. It seemed to not resolve the dependencies correctly.
Here is what you can try:
Install anaconda
Create a new conda workspace
Download the specific protobuf version that tensorflow needs: https://pypi.python.org/pypi/protobuf/3.0.0a3
Install it via sudo easy_install ~/Downloads/protobuf-3.0.0a3-py2.7.egg
Install a numpy version greater than 1.08.x via conda install numpy
Download the 0.6.0 version of tensorflow: https://storage.googleapis.com/tensorflow/mac/tensorflow-0.6.0-py2-none-any.whl
Install via pip install ~/Downloads/tensorflow-0.6.0-py2-none-any.whl
When you install tensorflow from the whl file directly, it should tell you when dependencies are not there. It seems not to be able to resolve these conflicts independently. My setup had issues with protobuf and numpy. After installing them manually everything worked fine.
I hope this helps!
It seems to be a common issue. Try to install it in the virtualenv. Its a much better solution, as you can always easily set up a new version of tensorflow without conflicts.
VirutalEnv Tutorial:
http://tensorflow.org/get_started/os_setup.md#virtualenv-based_installation
On the Mac, I didn't have any problem installing tensorflow with the anaconda version of python: https://www.continuum.io/downloads
The anaconda version also provides science, math, engineering, and data analysis packages. A lot of people on https://www.kaggle.com/ seem to use this...just a thought.