Unable to download nilmtk about nilmtk HOT 24 OPEN

The solution from @TristanMenzinger I think should work, however I usually install it another way and so far I have had no problems.

I recommend creating an environment with python 3.8 or lower and install via pip, the following line should work to install nilmtk:
pip install git+https://github.com/nilmtk/[email protected]

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I had the same issue and managed to work around this as follows:

From the nilmtk repository on anaconda download the.tar.bz2 files for your architecture for both the nilm metadata package and the nilmtk package.

Then, run conda install nilmtk-X.X.X-py_0.tar.bz2 and conda install nilm_metadata-X.X.X.tar.bz2 with the X's as the version number of the package you want to install.

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@camilomarino's solution was immensely helpful in successfully installing the required components, and I'd like to express my gratitude.

Here's some additional information for the latest version:
To ensure that Python can successfully import nilmtk,I will need to install the nilm_metadata package. This can be achieved by using the following command pip install git+https://github.com/nilmtk/[email protected] to make python runs import nilmtk successfully.

In summary, for the most up-to-date installation instructions, here're the steps

1. Create environment for python=3.8
2. pip install git+https://github.com/nilmtk/[email protected] Ref from here
3. pip install git+https://github.com/nilmtk/[email protected]
   Verify installation
4. startup python console environment and enter import nilmtk

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Apologies, @mixalako. My mistake – I provided the incorrect version number for nilm_metadata. To resolve the installation issue, you can use the following command:
pip install git+https://github.com/nilmtk/[email protected]
And my pip version is 23.3.

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The solution from @camilomarino worked perfectly, but keep in mind that the Python version must be exactly 3.8. Also, you have to install nilmtk-metadata as follows: pip install git+https://github.com/nilmtk/[email protected]

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@camilomarino It really work smoothly by this way. Thx!

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I had the same issue and managed to work around this as follows:

From the nilmtk repository on anaconda download the.tar.bz2 files for your architecture for both the nilm metadata package and the nilmtk package.

Then, run conda install nilmtk-X.X.X-py_0.tar.bz2 and conda install nilm_metadata-X.X.X.tar.bz2 with the X's as the version number of the package you want to install.

@TristanMenzinger do we need to place .tar.bz2 files in any specific folder?

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NO, you could put it anywhere with a sufficient disk space.

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I created nilmtk env. Downloaded .tar.bz2 files, put this on my desktop and then tried to install nilmtk using "conda install nilmtk-X.X.X-py_0.tar.bz2" but I am getting the following:

CondaError: Unable to determine python site-packages dir in target_prefix!
Please make sure python is installed in C:\Users\ABFQSZZ\Anaconda3\envs\nilmtk-env

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I checked pkgs folder, this file is there, still same issue

from nilmtk.

I had the same issue and managed to work around this as follows:
From the nilmtk repository on anaconda download the.tar.bz2 files for your architecture for both the nilm metadata package and the nilmtk package.
Then, run conda install nilmtk-X.X.X-py_0.tar.bz2 and conda install nilm_metadata-X.X.X.tar.bz2 with the X's as the version number of the package you want to install.

@TristanMenzinger do we need to place .tar.bz2 files in any specific folder?

As @Rebecca29 said, anywhere is fine. You don't need to create an environment at all, using the default (= no environment) is fine. In the IDE of your choice (i.e. Jupyter Notebook) simply proceed with the commands. Can you try running the commands outside of an environment using pip (i.e. pip install nilm_metadata-X.X.X.tar.bz2 and pip install install nilmtk-X.X.X-py_0.tar.bz2 or try @camilomarino's solution.

Generally, I would highly recommend against using anaconda and use pip over conda whenever possible, but that's just me. Conda has certain advantages with binding-heavy packages, but this isn't the case here.

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I was able to make it work without creating an environment. Thank you @Rebecca29 and @TristanMenzinger for your inputs.

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The solution from aalaoui12 also work in python 3.7.9

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Thanks for the posted solutions.
Now that i have installed nilmtk (hopefully working), I've stumbled across some errors concerning the DataSet part of nilmtk:

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Just in case anyone has the same problem. For me reinstalling the nilm_metadata with the newest version solved the problem (i am on windows):

pip uninstall nilm_metadata
pip install git+https://github.com/nilmtk/nilm_metadata

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I am trying to install nilmtk in Ubuntu for problems of memory in Windows . I tried the instructions of Rafphael164 and finally I can load the dataset .. but the code faults because (I think) is using python3.9.
Anyone know what version of python must be works with nilmtk?

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Are you able to downgrade your python version to 3.8 or lower? If so, it should solve your problems.

Otherwise I would suggest you this article, which explains the installation of NILMTK on Linux OS: https://klemenjak.medium.com/a-step-by-step-manual-for-installing-nilmtk-bff86e3aa418

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The solution from @TristanMenzinger I think should work, however I usually install it another way and so far I have had no problems.

I recommend creating an environment with python 3.8 or lower and install via pip, the following line should work to install nilmtk: pip install git+https://github.com/nilmtk/[email protected]

Tried but not working. Tried WSL and run the same commands I tried in Windows. Still not working. I have a working environment in Kaggle but I need a local environment. Please help

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@mucrolores You save my life.

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@mucrolores Hello. What pip version are you using?

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@mixalako
It works on my computer, testing on new environment. But you need to remove 0.2.5.

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@mucrolores Thank you very much for your clarifications they have been very helpful. Another issue is about the datasets, i cannot find neither REDD nor iAWE. Thanks again.

For everyones information there is also nilm_metadata which holds a setup.py for those who cannot install the metadata with pip.

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@mixalako, I regret to inform you that I couldn't locate those two datasets either. It seems that these datasets are no longer available, and I was unable to find any alternative links.

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