I'm trying to load an existing azure workspace in RStudio Azure Compute Instance like it's shown in this link: https://azure.github.io/azureml-sdk-for-r/. But, after installing azuremlsdk package when I'm running this code azuremlsdk::install_azureml(). I'm getting this error :
Attempting uninstall: certifi Found existing installation: certifi2016.9.26ERROR: Cannot uninstall 'certifi'. It is a distutilsinstalled project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.Error: Error installing package(s): 'azureml-sdk==1.10.0', 'numpy', 'pandas'
By referring to this link : https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-environments; I tried to fix this error by running conda remove certifi through terminal of that Compute Instance & Jupyter Notebook of that Compute Instance. But, no luck.
Does anyone have any experience in resolving this issue. Please help.
Azure ML has issues with Python versions and its dependency packages, make sure you are using Python package of 3.5 to 3.8 while installing these.
While installing azureml it will search for all the dependency packages and will install all of them, in this process there will be the version issues, like pandas, numpy.. with different pip versions.
From your stack trace looks like the error is happening when we install the packages like pandas numpy etc along with azureml-train-automl-client package so try to install them before hand by checking its versions which are dependent with you python versions packages.
Check the Azure ML documentation for installation of Azure ML Additional packages.
If you investigate them azureml-train-automl requires somes data science packages including pandas, numpy, and scikit-learn.
Kindly follow below commands for conda environment:
pip install azureml-train-automl
pip install --upgrade azureml-train-automl
pip install show azureml-train-automl
It seems that the Python SDK installation conflicts with itself when using Python 3.6 (the default). I was able to install the SDK for Python 3.7:
azuremlsdk::install_azureml(conda_python_version = '3.7')
Related
I have installed all libraries we need on this project except ‘’ Cartopy library ‘’ in Pycharm. After some research I thought it might be due to the python version so I tried dowloading the Cartopy Library in about 5 different Python versions and again the Cartopy Library is not installed.
After some more research, I thought of changing the version of Pycharm. I dowload version of 2020 and 2021 of Pycharm. Unfortunately i still got the same error :
“Error occurred when installing package ‘Cartopy”.
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I have encountered a similar issue with another package and the problem wasn't in the IDE but the OS which in my case was mac. I had to install an ubuntu in parallel and migrate the whole project there and it ran perfectly.
I suggest you use conda instead of pip and if the issue didn't go away check the compatibility with your OS and if this is the issue you can simply install a virtual machine.
I need to use the sksparse.chomod package however my pycharm does not let me install it as it can't seem to find it.
I found the sksparse package on github and downloaded it but I do not know how to add a package downloaded from the internet into a conda environment. So, my first question would be can you download a package from github and add it to your conda environment, and how do you do this?
As I did not know how to do the above I instead saved the package within my project and thought I could simply import sksparse.cholmod. However, the line in my code that says import sksparse.cholmod as sks has no errors with it, so I assumed that meant this was ok, but when I try to run my file I get this error:
import sksparse.cholmod as sks
ModuleNotFoundError: No module named 'sksparse.cholmod'
If I have downloaded the package into my project why can't it be found, yet there are no errors when importing?
The cholmod file is a pyx file which I've been told should not be a problem.
Please could anyone help, I am reasonably new to python and I am looking for a straight forward solution that won't be time consuming.
It was an issue with windows, I was able to fix this using the instructions on this link
https://github.com/EmJay276/scikit-sparse
We must follow these steps precisely:
(This was tested with a Anaconda 3 installation and Python 3.7)
Install these requirements in order:
'''
conda install -c conda-forge numpy - tested with v1.19.1
conda install -c anaconda scipy - tested with v1.5.0
conda install -c conda-forge cython - tested with v0.29.21
conda install -c conda-forge suitesparse - tested with v5.4.0
'''
Download Microsoft Build Tools for C++ from https://visualstudio.microsoft.com/de/visual-cpp-build-tools/ (tested with 2019, should work with 2015 or newer)
Install Visual Studio Build Tools
Choose Workloads
Check "C++ Buildtools"
Keep standard settings
Run ''' pip install git+https://github.com/EmJay276/scikit-sparse '''
Test ''' from sksparse.cholmod import cholesky '''
Use all the versions stated for numpy etc, however with scipy I installed the latest version and it worked fine.
We have a large clustered Data environment with no access to the internet. I'm attempting to install Dash from our local pip repository, but it doesn't want to install on Python 3.6.4. I've tried versions 2.0.0 and 1.21.1.
When attempting to install dash 2.0.0, I get the following error:
ERROR: Package 'dash' requires a different Python: 3.6.4 not in '>=3.6'
When attempting to install dash 1.21.1, I get the following error:
ERROR: Package 'dash' requires a different Python: 3.6.4 not in '!=3.0.*,!=3.1.*,!=3.2.*,>=2.7'
Neither of these appear to actually state 3.6.4 is not supported, however I can't for the life of me get it to install. Is there a version of Dash specific to Python 3.6.4, or is it simply not supported? It's not an easy environment to update the Python version so this will likely not permit us to use Dash in the near future if it is simply not supported.
I was able to determine my problem.
I had to download about 25 dependent packages for dash and based my download purely on the version that dash told me to download. One of the packages (importlib-metadata) was not compatible with Python 3.6.4. Once I downgraded this package it worked fine.
I really wish pip informed you of the specific dependency it was having an issue with rather than reverting to the one you are trying to install.
I'm having trouble installing packages and using them in Pycharm. I've followed various threads (I'm new to Macs and seem to have tried everything) now I'm stuck.
In this case, I want to use the package xgboost.
I have brew installed, after launching a terminal using Rosetta:
%brew install xgboost
Warning: xgboost 1.3.3 is already installed and up-to-date.
It appears installed OK here:
/opt/homebrew/Cellar/xgboost
I also have Python installed here:
/opt/homebrew/Cellar/python#3.9
But no matter how I configure an Interpreter in Pycharm, I can't seem to get the package recognised.
Where have I gone wrong?
I am very unsure exactly how, but I've got this working.
Following: https://abbasegbeyemi.me/blog/homebrew-python-apple-m1
I changed the order of elements in my path:
export PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/homebrew/bin
then a new interpreter in Pycharm using:
usr/local/Cellar/Python#3.9/3.9.2_2/bin/python3.9
Now I can install packages just using pip in pycharm and it works.
This has been 6 hours of pain - warning to anyone who isn't well versed in macs, setting up an M1 for python dev was a complete nightmare for me.
Docs: https://xgboost.readthedocs.io/en/latest/build.html
Pre-built binary wheel for Python
If you are planning to use Python, consider installing XGBoost from a pre-built binary wheel, available from Python Package Index (PyPI). You may download and install it by running
# Ensure that you are downloading one of the following:
# * xgboost-{version}-py2.py3-none-manylinux1_x86_64.whl
# * xgboost-{version}-py2.py3-none-win_amd64.whl
pip3 install xgboost
Pyomo version - 5.6.1
python - 2.7
I am totally new to Ubuntu, how can I install pyomo compute_canonical_repn?
I am getting an error while importing compute_canonical_repn
from pyomo.repn.compute_canonical_repn import preprocess_constraint
ERROR:- No module named compute_canonical_repn
I don't find any specific installation procedures to do
FYI, the same module is working in my windows machine with pyomo version 5.2
From your comment responses, this isn't an issue with the pip install pyomo command.
You want to be able to use preprocess_constraint, which was moved to pyomo.repn.standard_repn.
Have you tried pip install pyomo ?
Reference