-
Notifications
You must be signed in to change notification settings - Fork 178
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Installing lightweight_mmm #57
Comments
Hi @chsheth You can take a look at this issue on JAX to install JAX first and then you can go ahead to installing LMMM. However I highly recommend to try using a Linux machine or Colab if you dont have access to one. |
Just commenting as I had the same issue yesterday. I resolved by using WSL on my Microsoft machine. |
Thank you @pabloduque0, @mjtriggs. I used Colab and it worked and I believe for Windows, wsl might work as mjtriggs indicated. |
Thank you @pabloduque0, @mjtriggs. I used Colab and it worked and I believe for Windows, wsl might work as mjtriggs indicated. |
Hi, I get the following error when I install the packages. I am using anaconda terminal to run these commands. Can you please advise? Thank you.
(base) PS C:\Users\csheth> pip install lightweight_mmm
Collecting lightweight_mmm
Using cached lightweight_mmm-0.1.5-py3-none-any.whl (63 kB)
Collecting matplotlib==3.3.4
Using cached matplotlib-3.3.4-cp39-cp39-win_amd64.whl (8.5 MB)
Collecting seaborn==0.11.1
Using cached seaborn-0.11.1-py3-none-any.whl (285 kB)
Collecting sklearn
Using cached sklearn-0.0.tar.gz (1.1 kB)
Preparing metadata (setup.py) ... done
Collecting absl-py
Using cached absl_py-1.2.0-py3-none-any.whl (123 kB)
Requirement already satisfied: pandas>=1.1.5 in c:\users\csheth\anaconda3\lib\site-packages (from lightweight_mmm) (1.3.4)
Requirement already satisfied: numpy>=1.12 in c:\users\csheth\anaconda3\lib\site-packages (from lightweight_mmm) (1.21.5)
Requirement already satisfied: scipy in c:\users\csheth\anaconda3\lib\site-packages (from lightweight_mmm) (1.7.1)
Collecting lightweight_mmm
Using cached lightweight_mmm-0.1.4-py3-none-any.whl (60 kB)
Collecting frozendict
Using cached frozendict-2.3.4-cp39-cp39-win_amd64.whl (35 kB)
Collecting lightweight_mmm
Using cached lightweight_mmm-0.1.3-py3-none-any.whl (53 kB)
Using cached lightweight_mmm-0.1.2-py3-none-any.whl (48 kB)
Collecting tensorflow==2.5.3
Downloading tensorflow-2.5.3-cp39-cp39-win_amd64.whl (428.3 MB)
------------------------------------- 428.3/428.3 MB 1.3 MB/s eta 0:00:00
Requirement already satisfied: arviz in c:\users\csheth\anaconda3\lib\site-packages (from lightweight_mmm) (0.11.2)
Requirement already satisfied: seaborn in c:\users\csheth\anaconda3\lib\site-packages (from lightweight_mmm) (0.11.2)
Collecting lightweight_mmm
Using cached lightweight_mmm-0.1.1-py3-none-any.whl (41 kB)
Using cached lightweight_mmm-0.1.0-py3-none-any.whl (40 kB)
Collecting jax>=0.2.21
Using cached jax-0.3.16.tar.gz (1.0 MB)
Preparing metadata (setup.py) ... done
ERROR: Cannot install lightweight-mmm==0.1.0, lightweight-mmm==0.1.1, lightweight-mmm==0.1.2, lightweight-mmm==0.1.3, lightweight-mmm==0.1.4 and lightweight-mmm==0.1.5 because these package versions have conflicting dependencies.
The conflict is caused by:
lightweight-mmm 0.1.5 depends on jaxlib>=0.3.14
lightweight-mmm 0.1.4 depends on jaxlib>=0.3.14
lightweight-mmm 0.1.3 depends on jaxlib>=0.3.0
lightweight-mmm 0.1.2 depends on jaxlib>=0.3.0
lightweight-mmm 0.1.1 depends on jaxlib>=0.3.0
lightweight-mmm 0.1.0 depends on tensorflow==2.4.1
To fix this you could try to:
ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/topics/dependency-resolution/#dealing-with-dependency-conflicts
The text was updated successfully, but these errors were encountered: