make prophet, lightgbm and catboost optional #1589
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Just wanted to comment to add my own user experience on a M1 Macbook (2020 macbook pro) if its all helpful to you: I have no issues installing prophet on my m1, even on arm64 architecture. I did however have issues with LightGBM installation through pip, but was easily fixed with an install through conda forge (all conda environments in this example, not virtualenv) I did have issues with installing prophet on windows x86_64 architecture, but solved by using WSL. |
Thanks for sharing. I'm now wondering if I did anything wrong when trying to install Prophet. I tried a couple of ways, including different versions of Python, installing pystan or cmdstan first etc. How are you installing it? For the record, here's what I get when I attempt |
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honestly its just a normal pip install for me. here was my process:
the one thing I can think of off the top of my head is I've installed mamba to make some of the package management faster |
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@hrzn Could we make lightgbm optional when installing darts pytorch? It is a pain to deal with on Macs 👎 Seems it always bundles together even if I don't use the lib. |
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I've been struggling with this recently. But I think I've found a way to install both LightGBM and prophet without resorting to emulation. As @Eliotdoesprogramming suggested, install LightGBM with conda: conda install -c conda-forge 'lightgbm>=3.3.3'As for prophet, I installed CmdStan through conda, then installed the Python client and rebuilt it: conda install -c conda-forge cmdstan
pip install cmdstanpy
python -c "from cmdstanpy import rebuild_cmdstan; rebuild_cmdstan()"
export PROPHET_REPACKAGE_CMDSTAN=FalseThen I was able to just |
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Hi @eshwen, Sorry for the delay and thank you for sharing your solution! Could you please check if your approach still works after the release of PyTorch 2.0? If, a PR adding these instructions to the documentation would be very welcome! |
No problem. I've briefly tested, and it does still work with PyTorch 2.0. In fact, it doesn't appear to need the |
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Not sure if this is the correct forum, but I found a way to install prophet on MacOS 13.2.1 with M2 processor.
I do not know if prophet actually works properly as I am not interesting in using it. However, I am forced to install |
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Hi, As a fellow M1 Mac user, I have found that most of the packages used in Darts fail with "used" or "old" environments (at least Conda environments). Therefore I'd suggest to create a new environment and install all the dependencies first before installing darts. It goes even smoother. As for the specific case of Prophet, I have raised a couple of issues in their repo because the cmdstan shouldn't try to build the wheel locally since the pip command should be retrieving the built wheel. You can see it here facebook/prophet#2402. They have found the issue on Windows but still missing the solution for macOS. On a second note, as for now, be sure to install prophet's version 1.1.1 since the newest one has an issue when trying to fit some data. Hence the suggestion to first install first Darts' external dependencies (i.e. PyTorch, Prophet, LightGBM, etc) and then Darts in whatever package you want. Best |
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I will pick this up and additionally exclude lightgbm (there are issues for many users installing on M1) and catboost (catboost>=1.2.0 installation requires a lot of additional build tools (cmake, ninja, ...) which we should avoid forcing on the user) |
dennisbader
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INSTALL.md
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| * Install darts with all available models (recommended): `conda install -c conda-forge -c pytorch u8darts-all`. | ||
| * Install darts with all available models: `conda install -c conda-forge -c pytorch u8darts-all` | ||
| * Install core only (without neural networks, Prophet, LightGBM and Catboost): `conda install -c conda-forge u8darts` | ||
| * Install core + Prophet + LightGBM + CatBoost: `pip install "u8darts[notorch]"` |
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to be coherent with the others, should this flavor of the package be called udarts-notorch?
INSTALL.md
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| softwareupdate --install-rosetta | ||
| ``` | ||
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| Below are the necessary instructions to create and configure the environment: | ||
| - Start by installing conda (e.g., with miniforge : `brew install miniforge`). | ||
| - Install conda if you haven't done so (e.g., with miniforge : `brew install miniforge`). | ||
| - Create the x_64 environment : `CONDA_SUBDIR=osx-64 conda create -n env_name python=3.9 pip` |
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update this to 3.10 to be coherent with the instruction above?
Now that I have access to an M1 Mac, I was able to run more tests.
This is up for discussion, but I propose the following:
dartspackage. That's because it's just too painful to install and I'm not even sure it can always be done on Apple silicon without using x64 emulation, which is not satisfying. Having it as a hard dependency is too much troubles for many users I suspect...prophethas to be installed separately.Edit (@dennisbader, 2023-08-03):
Removed Prophet, LightGBM, and CatBoost dependencies from PyPI packages (
darts,u8darts,u8darts[torch]), and conda-forge packages (u8darts,u8darts-torch) to avoid installation issues that some users were facing (installation on Apple M1/M2 devices, ...).u8darts[all]and conda-forge packageu8darts-allare now equivalent to the olddartspackage (all dependencies).u8darts[notorch], and conda-forge flavoru8darts-notorchwhich are equivalent to the oldu8dartsinstallation.