Instalation fault on windows 11 con mamba o Conda

[crn565]

I am trying to install nilmtk_env using anaconca by the recommended methodconda create -n nilm -c conda-forge -c nilmtk nilmtk-contrib and not works ( black screen un hours and not responding)

I've tried to install with Mamba . First I create the enviremente, I install de dependecies( keras,cvxpy and nilmtk) and finally I try to install:

• mamba create -n nilmtk-contrib-env python=3.8
• mamba activate nilmtk-contrib-env
• mamba install -c conda-forge numpy pandas matplotlib scipy scikit-learn jupyter
• mamba install -c conda-forge cvxp
• mamba install -c conda-forge keras
• mamba install -c conda-forge nilmtk
• git clone https://github.com/nilmtk/nilmtk-contrib.git
• cd nilmtk-contrib
• pip install -e .

And in the last commnad I received and error that tell that nilmtk version must be >=0.4 but my version of nilmtk is 0.4.3 so I don't understand the error the instalation..

I don't know how to do to install nilmtk-contrib ! please help!

[crn565]

As I read in an Issue that it might work better with Python 3.7, I also tried the installation this way, unfortunately still without results:

(base) C:\Users\carlo>mamba create -n nilmtk-contrib-env python=3.7
WARNING: A conda environment already exists at 'C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env'
Remove existing environment (y/[n])? y

Looking for: ['python=3.7']

pkgs/main/win-64 No change
pkgs/r/win-64 No change
pkgs/msys2/noarch No change
pkgs/msys2/win-64 No change
pkgs/main/noarch No change
pkgs/r/noarch No change
nilmtk/win-64 No change
nilmtk/noarch No change
conda-forge/noarch 15.0MB @ 5.6MB/s 2.7s
conda-forge/win-64 22.6MB @ 6.1MB/s 3.8s
Transaction

Prefix: C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env

Updating specs:

• python=3.7

Package Version Build Channel Size

Install:

• ucrt 10.0.22621.0 h57928b3_0 conda-forge Cached
• ca-certificates 2024.6.2 h56e8100_0 conda-forge Cached
• vc14_runtime 14.40.33810 ha82c5b3_20 conda-forge Cached
• vc 14.3 h8a93ad2_20 conda-forge Cached
• vs2015_runtime 14.40.33810 h3bf8584_20 conda-forge Cached
• libsqlite 3.46.0 h2466b09_0 conda-forge Cached
• openssl 3.3.1 h2466b09_0 conda-forge Cached
• sqlite 3.46.0 h2466b09_0 conda-forge 886kB
• python 3.7.12 h900ac77_100_cpython conda-forge 19MB
• wheel 0.42.0 pyhd8ed1ab_0 conda-forge 58kB
• setuptools 69.0.3 pyhd8ed1ab_0 conda-forge 471kB
• pip 24.0 pyhd8ed1ab_0 conda-forge Cached

Summary:

Install: 12 packages

Total download: 20MB

---

Confirm changes: [Y/n] Y
wheel 57.6kB @ 351.3kB/s 0.2s
setuptools 470.5kB @ 2.3MB/s 0.2s
sqlite 885.7kB @ 2.6MB/s 0.3s
python 18.9MB @ 10.1MB/s 1.9s

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

To activate this environment, use

 $ mamba activate nilmtk-contrib-env

To deactivate an active environment, use

 $ mamba deactivate

(base) C:\Users\carlo>mamba activate nilmtk-contrib-env

(nilmtk-contrib-env) C:\Users\carlo>mamba install -c conda-forge numpy pandas matplotlib scipy scikit-learn jupyter

Looking for: ['numpy', 'pandas', 'matplotlib', 'scipy', 'scikit-learn', 'jupyter']

conda-forge/win-64 Using cache
conda-forge/noarch Using cache
pkgs/r/win-64 No change
pkgs/main/noarch No change
pkgs/main/win-64 No change
pkgs/r/noarch No change
pkgs/msys2/win-64 No change
pkgs/msys2/noarch No change
nilmtk/noarch No change
nilmtk/win-64 No change

Pinned packages:

• python 3.7.*

Transaction

Prefix: C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env

Updating specs:

• numpy
• pandas
• matplotlib
• scipy
• scikit-learn
• jupyter
• ca-certificates
• openssl

Package Version Build Channel Size

Install:

• jupyterlab_widgets 3.0.11 pyhd8ed1ab_0 conda-forge Cached
• widgetsnbextension 4.0.11 pyhd8ed1ab_0 conda-forge Cached
• traitlets 5.9.0 pyhd8ed1ab_0 conda-forge 98kB
• packaging 23.2 pyhd8ed1ab_0 conda-forge 49kB
• nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge Cached
• threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge 18kB
• pytz 2024.1 pyhd8ed1ab_0 conda-forge Cached
• certifi 2024.6.2 pyhd8ed1ab_0 conda-forge Cached
• cycler 0.11.0 pyhd8ed1ab_0 conda-forge 10kB
• pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge Cached
• typing_extensions 4.7.1 pyha770c72_0 conda-forge 36kB
• colorama 0.4.6 pyhd8ed1ab_0 conda-forge Cached
• decorator 5.1.1 pyhd8ed1ab_0 conda-forge Cached
• pickleshare 0.7.5 py_1003 conda-forge Cached
• pygments 2.17.2 pyhd8ed1ab_0 conda-forge 860kB
• backcall 0.2.0 pyh9f0ad1d_0 conda-forge Cached
• munkres 1.1.4 pyh9f0ad1d_0 conda-forge Cached
• six 1.16.0 pyh6c4a22f_0 conda-forge Cached
• prometheus_client 0.17.1 pyhd8ed1ab_0 conda-forge 53kB
• python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge Cached
• defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge Cached
• entrypoints 0.4 pyhd8ed1ab_0 conda-forge Cached
• pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge Cached
• mistune 3.0.2 pyhd8ed1ab_0 conda-forge Cached
• attrs 23.2.0 pyh71513ae_0 conda-forge Cached
• pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge Cached
• parso 0.8.4 pyhd8ed1ab_0 conda-forge Cached
• zipp 3.15.0 pyhd8ed1ab_0 conda-forge 17kB
• webencodings 0.5.1 pyhd8ed1ab_2 conda-forge Cached
• soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge 35kB
• ply 3.11 pyhd8ed1ab_2 conda-forge Cached
• toml 0.10.2 pyhd8ed1ab_0 conda-forge Cached
• websocket-client 1.6.1 pyhd8ed1ab_0 conda-forge 46kB
• backports 1.0 pyhd8ed1ab_3 conda-forge 6kB
• idna 3.7 pyhd8ed1ab_0 conda-forge Cached
• sniffio 1.3.1 pyhd8ed1ab_0 conda-forge Cached
• exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge Cached
• pycparser 2.21 pyhd8ed1ab_0 conda-forge 103kB
• ipython_genutils 0.2.0 pyhd8ed1ab_1 conda-forge 28kB
• matplotlib-inline 0.1.7 pyhd8ed1ab_0 conda-forge Cached
• comm 0.2.2 pyhd8ed1ab_0 conda-forge Cached
• qtpy 2.4.1 pyhd8ed1ab_0 conda-forge Cached
• typing-extensions 4.7.1 hd8ed1ab_0 conda-forge 10kB
• jupyterlab_pygments 0.3.0 pyhd8ed1ab_1 conda-forge Cached
• python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge Cached
• jedi 0.19.1 pyhd8ed1ab_0 conda-forge Cached
• importlib_resources 6.0.0 pyhd8ed1ab_0 conda-forge 27kB
• tinycss2 1.3.0 pyhd8ed1ab_0 conda-forge Cached
• beautifulsoup4 4.12.3 pyha770c72_0 conda-forge Cached
• anyio 3.7.1 pyhd8ed1ab_0 conda-forge 97kB
• python_abi 3.7 4_cp37m conda-forge 7kB
• intel-openmp 2024.1.0 h57928b3_966 conda-forge Cached
• libzlib 1.3.1 h2466b09_1 conda-forge Cached
• jpeg 9e hcfcfb64_3 conda-forge 289kB
• lerc 4.0.0 h63175ca_0 conda-forge Cached
• libdeflate 1.14 hcfcfb64_0 conda-forge 75kB
• libwebp-base 1.4.0 hcfcfb64_0 conda-forge Cached
• tk 8.6.13 h5226925_1 conda-forge Cached
• msys2-conda-epoch 20160418 1 conda-forge Cached
• libbrotlicommon 1.1.0 hcfcfb64_1 conda-forge Cached
• pandoc 3.2 h57928b3_0 conda-forge Cached
• xz 5.2.6 h8d14728_0 conda-forge Cached
• pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge Cached
• winpty 0.4.3 4 conda-forge Cached
• icu 70.1 h0e60522_0 conda-forge 18MB
• krb5 1.20.1 heb0366b_0 conda-forge 717kB
• bzip2 1.0.8 hcfcfb64_5 conda-forge Cached
• libiconv 1.17 hcfcfb64_2 conda-forge Cached
• libffi 3.4.2 h8ffe710_5 conda-forge Cached
• libasprintf 0.22.5 h5728263_2 conda-forge 50kB
• libogg 1.3.4 h8ffe710_1 conda-forge Cached
• libsodium 1.0.18 h8d14728_1 conda-forge Cached
• cffi 1.15.1 py37ha95fbe2_1 conda-forge 233kB
• pywin32 303 py37hcc03f2d_0 conda-forge 7MB
• pyrsistent 0.18.1 py37hcc03f2d_1 conda-forge 87kB
• markupsafe 2.1.1 py37hcc03f2d_1 conda-forge 25kB
• importlib-metadata 4.11.4 py37h03978a9_0 conda-forge 34kB
• unicodedata2 14.0.0 py37hcc03f2d_1 conda-forge 506kB
• sip 6.7.2 py37h7f67f24_0 conda-forge 557kB
• kiwisolver 1.4.4 py37h8c56517_0 conda-forge 62kB
• tornado 6.2 py37hcc03f2d_0 conda-forge 669kB
• psutil 5.9.3 py37h51bd9d9_0 conda-forge 377kB
• debugpy 1.6.3 py37hf2a7229_0 conda-forge 3MB
• zstd 1.5.6 h0ea2cb4_0 conda-forge Cached
• libpng 1.6.43 h19919ed_0 conda-forge Cached
• m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge Cached
• m2w64-gmp 6.1.0 2 conda-forge Cached
• libbrotlienc 1.1.0 hcfcfb64_1 conda-forge Cached
• libbrotlidec 1.1.0 hcfcfb64_1 conda-forge Cached
• pywinpty 2.0.8 py37h7f67f24_0 conda-forge 240kB
• pcre2 10.43 h17e33f8_0 conda-forge Cached
• libintl 0.22.5 h5728263_2 conda-forge Cached
• libxml2 2.12.7 h283a6d9_1 conda-forge Cached
• libasprintf-devel 0.22.5 h5728263_2 conda-forge 36kB
• libvorbis 1.3.7 h0e60522_0 conda-forge Cached
• zeromq 4.3.4 h0e60522_1 conda-forge 9MB
• argon2-cffi-bindings 21.2.0 py37hcc03f2d_2 conda-forge 35kB
• jupyter_core 4.11.1 py37h03978a9_0 conda-forge 108kB
• pyqt5-sip 12.11.0 py37h7f67f24_1 conda-forge 86kB
• libclang13 15.0.7 default_hf64faad_5 conda-forge 22MB
• libtiff 4.4.0 hc4f729c_5 conda-forge 806kB
• freetype 2.12.1 hdaf720e_2 conda-forge Cached
• m2w64-gcc-libs-core 5.3.0 7 conda-forge Cached
• brotli-bin 1.1.0 hcfcfb64_1 conda-forge Cached
• libgettextpo 0.22.5 h5728263_2 conda-forge 171kB
• gettext-tools 0.22.5 h7d00a51_2 conda-forge 3MB
• libintl-devel 0.22.5 h5728263_2 conda-forge Cached
• libglib 2.80.2 h0df6a38_0 conda-forge Cached
• libhwloc 2.10.0 default_h8125262_1001 conda-forge Cached
• pyzmq 24.0.1 py37h7347f05_0 conda-forge 468kB
• libclang 15.0.7 default_h3a3e6c3_5 conda-forge 148kB
• openjpeg 2.5.0 hc9384bd_1 conda-forge 263kB
• lcms2 2.14 h90d422f_0 conda-forge 1MB
• m2w64-gcc-libgfortran 5.3.0 6 conda-forge Cached
• brotli 1.1.0 hcfcfb64_1 conda-forge Cached
• libgettextpo-devel 0.22.5 h5728263_2 conda-forge 40kB
• glib-tools 2.80.2 h2f9d560_0 conda-forge Cached
• tbb 2021.12.0 hc790b64_1 conda-forge Cached
• m2w64-gcc-libs 5.3.0 7 conda-forge Cached
• fonttools 4.38.0 py37h51bd9d9_0 conda-forge 2MB
• gettext 0.22.5 h5728263_2 conda-forge 34kB
• glib 2.80.2 h0df6a38_0 conda-forge Cached
• mkl 2024.1.0 h66d3029_692 conda-forge Cached
• xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge Cached
• pthread-stubs 0.4 hcd874cb_1001 conda-forge Cached
• xorg-libxau 1.0.11 hcd874cb_0 conda-forge Cached
• gstreamer 1.22.9 hb4038d2_1 conda-forge 2MB
• libblas 3.9.0 22_win64_mkl conda-forge Cached
• libxcb 1.13 hcd874cb_1004 conda-forge 1MB
• gst-plugins-base 1.22.9 h001b923_1 conda-forge 2MB
• libcblas 3.9.0 22_win64_mkl conda-forge Cached
• liblapack 3.9.0 22_win64_mkl conda-forge Cached
• pillow 9.2.0 py37h42a8222_2 conda-forge 48MB
• qt-main 5.15.8 h720456b_6 conda-forge 60MB
• numpy 1.21.6 py37h2830a78_0 conda-forge 6MB
• pyqt 5.15.7 py37h15e4627_1 conda-forge 5MB
• matplotlib-base 3.5.3 py37hbaab90a_2 conda-forge 8MB
• scipy 1.7.3 py37hb6553fb_0 conda-forge 26MB
• pandas 1.3.5 py37h9386db6_0 conda-forge 11MB
• matplotlib 3.5.3 py37h03978a9_2 conda-forge 8kB
• send2trash 1.8.3 pyh5737063_0 conda-forge Cached
• jinja2 3.1.4 pyhd8ed1ab_0 conda-forge Cached
• jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge 70kB
• backports.functools_lru_cache 2.0.0 pyhd8ed1ab_0 conda-forge 12kB
• bleach 6.1.0 pyhd8ed1ab_0 conda-forge Cached
• joblib 1.3.2 pyhd8ed1ab_0 conda-forge 221kB
• terminado 0.17.0 pyh08f2357_0 conda-forge 20kB
• argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge Cached
• jupyter_client 7.4.9 pyhd8ed1ab_0 conda-forge 99kB
• nbformat 5.8.0 pyhd8ed1ab_0 conda-forge 101kB
• wcwidth 0.2.10 pyhd8ed1ab_0 conda-forge 33kB
• nbclient 0.7.0 pyhd8ed1ab_0 conda-forge 67kB
• prompt-toolkit 3.0.47 pyha770c72_0 conda-forge Cached
• nbconvert-core 7.6.0 pyhd8ed1ab_0 conda-forge 212kB
• prompt_toolkit 3.0.47 hd8ed1ab_0 conda-forge Cached
• jupyter_server 1.23.4 pyhd8ed1ab_0 conda-forge 244kB
• nbconvert-pandoc 7.6.0 pyhd8ed1ab_0 conda-forge 7kB
• notebook-shim 0.2.4 pyhd8ed1ab_0 conda-forge Cached
• nbconvert 7.6.0 pyhd8ed1ab_0 conda-forge 8kB
• scikit-learn 1.0.2 py37hcabfae0_0 conda-forge 7MB
• ipython 7.33.0 py37h03978a9_0 conda-forge 1MB
• ipywidgets 8.1.3 pyhd8ed1ab_0 conda-forge Cached
• ipykernel 6.16.2 pyh025b116_0 conda-forge 103kB
• nbclassic 1.1.0 pyhd8ed1ab_0 conda-forge 5MB
• qtconsole-base 5.4.4 pyha770c72_0 conda-forge 99kB
• jupyter_console 6.5.1 pyhd8ed1ab_0 conda-forge 26kB
• notebook 6.5.7 pyha770c72_0 conda-forge 309kB
• jupyter 1.0.0 pyhd8ed1ab_10 conda-forge Cached

Downgrade:

• setuptools 69.0.3 pyhd8ed1ab_0 conda-forge Cached

• setuptools 59.8.0 py37h03978a9_1 conda-forge 1MB

Summary:

Install: 168 packages
Downgrade: 1 packages

Total download: 259MB

---

Confirm changes: [Y/n] Y
threadpoolctl 18.3kB @ 114.7kB/s 0.2s
cycler 10.3kB @ 63.9kB/s 0.2s
traitlets 98.4kB @ 574.6kB/s 0.2s
packaging 49.5kB @ 282.2kB/s 0.2s
backports 6.0kB @ 28.8kB/s 0.0s
typing_extensions 36.3kB @ 155.6kB/s 0.2s
typing-extensions 10.1kB @ 40.5kB/s 0.1s
python_abi 6.8kB @ 27.0kB/s 0.1s
cffi 233.1kB @ 819.0kB/s 0.1s
markupsafe 25.5kB @ 77.7kB/s 0.1s
argon2-cffi-bindings 35.2kB @ 74.7kB/s 0.1s
psutil 376.6kB @ 788.3kB/s 0.2s
pywinpty 240.5kB @ 343.6kB/s 0.4s
openjpeg 262.5kB @ 291.7kB/s 0.2s
sip 556.5kB @ 425.2kB/s 1.1s
fonttools 1.8MB @ 1.1MB/s 0.8s
gettext-tools 3.4MB @ 1.7MB/s 1.5s
libxcb 1.3MB @ 503.1kB/s 1.4s
matplotlib 7.5kB @ 2.7kB/s 0.1s
joblib 221.2kB @ 73.3kB/s 0.3s
nbformat 100.6kB @ 31.2kB/s 0.2s
nbconvert-core 211.9kB @ 60.9kB/s 0.3s
nbconvert 7.9kB @ 2.2kB/s 0.1s
ipykernel 102.5kB @ 27.3kB/s 0.2s
icu 17.9MB @ 4.6MB/s 3.7s
jupyter_console 25.7kB @ 6.6kB/s 0.2s
prometheus_client 53.4kB @ 13.3kB/s 0.1s
websocket-client 45.6kB @ 11.3kB/s 0.1s
importlib_resources 27.5kB @ 6.7kB/s 0.1s
libdeflate 74.9kB @ 18.0kB/s 0.1s
unicodedata2 505.9kB @ 109.3kB/s 0.5s
matplotlib-base 7.8MB @ 1.5MB/s 3.4s
debugpy 3.3MB @ 504.3kB/s 1.9s
pywin32 7.3MB @ 1.1MB/s 2.7s
libclang 148.4kB @ 21.3kB/s 0.1s
libtiff 806.3kB @ 114.4kB/s 0.5s
gettext 34.0kB @ 4.8kB/s 0.1s
zeromq 9.4MB @ 959.9kB/s 4.4s
backports.functools_lru_cache 12.3kB @ 1.2kB/s 0.1s
wcwidth 32.6kB @ 3.3kB/s 0.1s
nbconvert-pandoc 6.9kB @ 687.0 B/s 0.1s
libclang13 21.9MB @ 2.1MB/s 10.1s
pygments 860.4kB @ 77.8kB/s 0.5s
pycparser 102.7kB @ 9.1kB/s 0.2s
jpeg 289.4kB @ 25.1kB/s 0.3s
pyrsistent 86.5kB @ 7.4kB/s 0.2s
tornado 669.1kB @ 54.8kB/s 0.5s
jupyter_core 107.8kB @ 8.7kB/s 0.2s
pyzmq 468.1kB @ 36.7kB/s 0.4s
nbclassic 5.5MB @ 407.1kB/s 3.5s
gstreamer 1.9MB @ 138.3kB/s 1.2s
terminado 19.5kB @ 1.4kB/s 0.1s
jupyter_server 243.7kB @ 17.0kB/s 0.3s
qtconsole-base 98.9kB @ 6.8kB/s 0.2s
soupsieve 34.7kB @ 2.4kB/s 0.1s
krb5 717.3kB @ 47.3kB/s 0.5s
kiwisolver 61.9kB @ 4.0kB/s 0.2s
pyqt5-sip 85.9kB @ 5.5kB/s 0.2s
libgettextpo-devel 40.3kB @ 2.6kB/s 0.1s
pyqt 4.9MB @ 301.3kB/s 2.8s
nbclient 66.6kB @ 4.1kB/s 0.1s
notebook 308.6kB @ 18.5kB/s 0.3s
scipy 25.6MB @ 1.5MB/s 9.8s
anyio 96.7kB @ 5.7kB/s 0.2s
setuptools 1.1MB @ 61.6kB/s 0.5s
jsonschema 70.5kB @ 4.0kB/s 0.1s
lcms2 1.0MB @ 57.5kB/s 0.7s
libasprintf 49.8kB @ 2.8kB/s 0.1s
libgettextpo 171.2kB @ 9.5kB/s 0.2s
jupyter_client 99.4kB @ 5.5kB/s 0.2s
ipython 1.2MB @ 66.8kB/s 0.7s
ipython_genutils 28.1kB @ 1.5kB/s 0.1s
zipp 17.2kB @ 938.0 B/s 0.1s
gst-plugins-base 2.0MB @ 105.8kB/s 1.1s
libasprintf-devel 36.3kB @ 1.9kB/s 0.1s
pandas 11.4MB @ 579.6kB/s 4.0s
importlib-metadata 34.0kB @ 1.7kB/s 0.1s
pillow 47.6MB @ 2.2MB/s 14.2s
numpy 5.6MB @ 257.9kB/s 3.3s
scikit-learn 7.1MB @ 322.0kB/s 2.6s
qt-main 60.4MB @ 2.7MB/s 20.5s

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(nilmtk-contrib-env) C:\Users\carlo>mamba install -c conda-forge cvxpy

Looking for: ['cvxpy']

conda-forge/win-64 Using cache
conda-forge/noarch Using cache
pkgs/r/win-64 No change
pkgs/main/win-64 No change
pkgs/main/noarch No change
pkgs/msys2/noarch No change
pkgs/msys2/win-64 No change
pkgs/r/noarch No change
nilmtk/noarch No change
nilmtk/win-64 No change

Pinned packages:

• python 3.7.*

Transaction

Prefix: C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env

Updating specs:

• cvxpy
• ca-certificates
• certifi
• openssl

Package Version Build Channel Size

Install:

• cvxpy-base 1.2.1 py37h3182a2c_0 conda-forge 904kB
• ecos 2.0.10 py37h3a130e4_1 conda-forge 80kB
• scs 3.2.0 py37hc23daf4_1 conda-forge 88kB
• qdldl-python 0.1.5 py37h9386db6_2 conda-forge 94kB
• osqp 0.6.2.post0 py37h9386db6_3 conda-forge 183kB
• cvxpy 1.2.1 py37h03978a9_0 conda-forge 92kB

Summary:

Install: 6 packages

Total download: 1MB

---

Confirm changes: [Y/n] Y
qdldl-python 94.1kB @ 618.0kB/s 0.2s
osqp 182.7kB @ 1.0MB/s 0.2s
ecos 80.1kB @ 425.1kB/s 0.2s
scs 88.3kB @ 405.7kB/s 0.2s
cvxpy 91.9kB @ 385.6kB/s 0.1s
cvxpy-base 903.9kB @ 3.4MB/s 0.3s

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(nilmtk-contrib-env) C:\Users\carlo>mamba install -c conda-forge keras

Looking for: ['keras']

conda-forge/win-64 Using cache
conda-forge/noarch Using cache
pkgs/main/noarch No change
pkgs/r/win-64 No change
pkgs/main/win-64 No change
pkgs/msys2/noarch No change
pkgs/msys2/win-64 No change
pkgs/r/noarch No change
nilmtk/noarch No change
nilmtk/win-64 No change

Pinned packages:

• python 3.7.*

Transaction

Prefix: C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env

Updating specs:

• keras
• ca-certificates
• certifi
• openssl

Package Version Build Channel Size

Install:

• keras 2.12.0 pyhd8ed1ab_0 conda-forge 902kB

Summary:

Install: 1 packages

Total download: 902kB

---

Confirm changes: [Y/n] Y
keras 902.3kB @ 3.6MB/s 0.3s

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(nilmtk-contrib-env) C:\Users\carlo>mamba install -c conda-forge nilmtk

Looking for: ['nilmtk']

conda-forge/win-64 Using cache
conda-forge/noarch Using cache
nilmtk/win-64 Using cache
nilmtk/noarch Using cache
pkgs/r/noarch No change
pkgs/main/noarch No change
pkgs/r/win-64 No change
pkgs/msys2/win-64 No change
pkgs/msys2/noarch No change
pkgs/main/win-64 No change

Pinned packages:

• python 3.7.*

Transaction

Prefix: C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env

Updating specs:

• nilmtk
• ca-certificates
• certifi
• openssl

Package Version Build Channel Size

Install:

• importlib_metadata 4.11.4 hd8ed1ab_0 conda-forge 4kB
• aiofiles 22.1.0 pyhd8ed1ab_0 conda-forge 18kB
• networkx 2.1 py_1 conda-forge Cached
• nose 1.3.7 py_1006 conda-forge Cached
• aiosqlite 0.20.0 pyhd8ed1ab_0 conda-forge 19kB
• tomli 2.0.1 pyhd8ed1ab_0 conda-forge Cached
• rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge Cached
• rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge Cached
• python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge Cached
• jsonpointer 2.0 py_0 conda-forge 9kB
• uri-template 1.3.0 pyhd8ed1ab_0 conda-forge Cached
• webcolors 24.6.0 pyhd8ed1ab_0 conda-forge Cached
• arrow 1.2.3 pyhd8ed1ab_0 conda-forge 94kB
• cached_property 1.5.2 pyha770c72_1 conda-forge Cached
• babel 2.14.0 pyhd8ed1ab_0 conda-forge Cached
• json5 0.9.25 pyhd8ed1ab_0 conda-forge Cached
• charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge Cached
• win_inet_pton 1.1.0 pyhd8ed1ab_6 conda-forge Cached
• isoduration 20.11.0 pyhd8ed1ab_0 conda-forge Cached
• cached-property 1.5.2 hd8ed1ab_1 conda-forge Cached
• fqdn 1.5.1 pyhd8ed1ab_0 conda-forge Cached
• jsonschema-with-format-nongpl 4.17.3 pyhd8ed1ab_0 conda-forge 7kB
• y-py 0.5.4 py37had2a638_0 conda-forge 561kB
• yaml 0.2.5 h8ffe710_2 conda-forge Cached
• snappy 1.2.0 hfb803bf_1 conda-forge Cached
• libaec 1.1.3 h63175ca_0 conda-forge Cached
• lz4-c 1.9.4 hcfcfb64_0 conda-forge Cached
• brotli-python 1.0.9 py37hf2a7229_7 conda-forge 343kB
• pysocks 1.7.1 py37h03978a9_5 conda-forge 29kB
• libssh2 1.11.0 h7dfc565_0 conda-forge Cached
• zlib 1.2.13 h2466b09_6 conda-forge Cached
• numexpr 2.7.3 py37h9386db6_2 conda-forge 134kB
• pyyaml 6.0 py37hcc03f2d_4 conda-forge 154kB
• blosc 1.21.5 hbd69f2e_1 conda-forge Cached
• libcurl 8.1.2 h68f0423_0 conda-forge 313kB
• hdf5 1.12.2 nompi_h57737ce_101 conda-forge Cached
• hmmlearn 0.2.7 py37h9386db6_0 conda-forge 141kB
• pytables 3.7.0 py37h52363c8_2 conda-forge 2MB
• ypy-websocket 0.8.2 pyhd8ed1ab_0 conda-forge 17kB
• jupyter_ydoc 0.2.4 pyhd8ed1ab_0 conda-forge 80kB
• urllib3 2.2.1 pyhd8ed1ab_0 conda-forge Cached
• jupyter_events 0.6.3 pyhd8ed1ab_1 conda-forge 21kB
• requests 2.32.2 pyhd8ed1ab_0 conda-forge 58kB
• jupyter_server_fileid 0.9.2 pyhd8ed1ab_0 conda-forge 21kB
• jupyterlab_server 2.24.0 pyhd8ed1ab_0 conda-forge 60kB
• jupyter_server_ydoc 0.8.0 pyhd8ed1ab_0 conda-forge 15kB
• jupyterlab 3.6.7 pyhd8ed1ab_0 conda-forge 6MB
• nilm_metadata 0.2.4 0 nilmtk Cached
• nilmtk 0.4.3 py_0 nilmtk Cached

Change:

• jupyterlab_pygments 0.3.0 pyhd8ed1ab_1 conda-forge Cached

• jupyterlab_pygments 0.3.0 pyhd8ed1ab_0 conda-forge 19kB

Downgrade:

• libzlib 1.3.1 h2466b09_1 conda-forge Cached

• libzlib 1.2.13 h2466b09_6 conda-forge Cached

• numpy 1.21.6 py37h2830a78_0 conda-forge Cached

• numpy 1.19.5 py37h4c2b6ed_3 conda-forge 5MB

• pandas 1.3.5 py37h9386db6_0 conda-forge Cached

• pandas 0.25.3 py37he350917_0 conda-forge 10MB

• matplotlib-base 3.5.3 py37hbaab90a_2 conda-forge Cached

• matplotlib-base 3.1.3 py37h2981e6d_0 conda-forge 7MB

• matplotlib 3.5.3 py37h03978a9_2 conda-forge Cached

• matplotlib 3.1.3 py37_0 conda-forge 7kB

Summary:

Install: 49 packages
Change: 1 packages
Downgrade: 5 packages

Total download: 31MB

---

Confirm changes: [Y/n] Y
aiofiles 17.7kB @ 141.1kB/s 0.1s
aiosqlite 18.9kB @ 148.0kB/s 0.1s
jupyterlab_pygments 18.7kB @ 140.0kB/s 0.1s
jsonpointer 8.7kB @ 59.3kB/s 0.1s
importlib_metadata 3.9kB @ 24.7kB/s 0.2s
pysocks 28.7kB @ 156.4kB/s 0.1s
pyyaml 154.5kB @ 742.2kB/s 0.1s
ypy-websocket 17.3kB @ 75.2kB/s 0.1s
hmmlearn 141.3kB @ 604.8kB/s 0.1s
requests 57.9kB @ 241.7kB/s 0.1s
jupyter_server_ydoc 15.5kB @ 58.0kB/s 0.1s
jsonschema-with-format-nongpl 6.6kB @ 20.1kB/s 0.1s
libcurl 313.3kB @ 914.0kB/s 0.1s
jupyter_server_fileid 20.6kB @ 59.8kB/s 0.1s
brotli-python 342.9kB @ 944.7kB/s 0.1s
arrow 93.7kB @ 234.2kB/s 0.1s
numexpr 134.3kB @ 309.5kB/s 0.1s
jupyterlab_server 60.1kB @ 132.4kB/s 0.1s
pytables 1.8MB @ 2.6MB/s 0.5s
y-py 561.3kB @ 800.2kB/s 0.3s
jupyter_events 21.3kB @ 26.2kB/s 0.1s
matplotlib 7.1kB @ 7.3kB/s 0.3s
jupyter_ydoc 79.5kB @ 81.9kB/s 0.5s
numpy 4.9MB @ 2.0MB/s 2.0s
matplotlib-base 6.8MB @ 2.5MB/s 1.7s
jupyterlab 5.7MB @ 2.1MB/s 1.9s
pandas 10.1MB @ 3.4MB/s 2.7s

Downloading and Extracting Packages:

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(nilmtk-contrib-env) C:\Users\carlo>git clone https://github.com/nilmtk/nilmtk-contrib.git
Cloning into 'nilmtk-contrib'...
remote: Enumerating objects: 1049, done.
remote: Counting objects: 100% (79/79), done.
remote: Compressing objects: 100% (44/44), done.
remote: Total 1049 (delta 41), reused 60 (delta 35), pack-reused 970Receiving objects: 99% (1039/1049), 81.07 MiB | 11.12 MiB/s
Receiving objects: 100% (1049/1049), 85.53 MiB | 10.81 MiB/s, done.
Resolving deltas: 100% (498/498), done.

(nilmtk-contrib-env) C:\Users\carlo>cd nilmtk-contrib

(nilmtk-contrib-env) C:\Users\carlo\nilmtk-contrib>pip install -e .
Obtaining file:///C:/Users/carlo/nilmtk-contrib
Preparing metadata (setup.py) ... done
INFO: pip is looking at multiple versions of nilmtk-contrib to determine which version is compatible with other requirements. This could take a while.
ERROR: Could not find a version that satisfies the requirement nilmtk>=0.4 (from nilmtk-contrib) (from versions: none)
ERROR: No matching distribution found for nilmtk>=0.4

(nilmtk-contrib-env) C:\Users\carlo\nilmtk-contrib>

[crn565]

And by the way this is my installed version of NILMTK:

(nilmtk-contrib-env) C:\Users\carlo\nilmtk-contrib>mamba list |findstr nilmtk

packages in environment at C:\Users\carlo\miniforge3\envs\nilmtk-contrib-env:

nilm_metadata 0.2.4 0 nilmtk
nilmtk 0.4.3 py_0 nilmtk

(nilmtk-contrib-env) C:\Users\carlo\nilmtk-contrib>

[olarraUPC]

@crn565 did you manage to install it? I'm still having issues

[crn565]

Yes , I unsinstalled anaconda and resinstall with conda create -n nilm -c conda-forge -c nilmtk nilmtk-contrib
The paquet nilmtk_contrib is intalled but when I used it not works