Closed bluetyson closed 4 years ago
Looks like an issue caused by using git describe
to manage the uncover-ml version number. Are you able to run git --version
and tell me your git version? Apparently git describe
is only in versions of git >2.4
And to answer your question requirements-pykrige.txt
and requirements.txt
are enough to run uncover-ml. requirements-dev.txt
is intended if you're going to develop and run tests.
Installed pysptools manually.
Also, rasterio installed in conda instructions and it is in the requirements.txt file. I just ran that the -dev requirements file too to see how it would go.
Pip rasterio installs can give GDAL-CONFIG environment errors too in this sort of istuation.
git version 2.25.1.windows.1 I am using git bash
Thanks for pointing out that duplication with rasterio. We've been running exclusively on Linux/NCI and this is the first pass at Windows compatibility so it's appreciated. For the time being I'm going to disable the git describe
command and hardcode the version number (commit).
Try pulling the change and see how it goes.
The install . worked (when I took rasterio out of requirements) - not sure what else that will affect currently, going to have rasterio issues now probably with pip/conda varieties.
Were you getting errors about installing rasterio when pip install failed?
Also did you activate the conda venv in git bash before running the pip install? If the pip install is run within the conda venv it's going to ignore the rasterio install directive because it already exists.
Yeah, but it could be because of install it again (in requirements) or something I did. I am trying a new environment again. However, from requirements-pykrige ERROR: uncover-ml 0.3.1 has requirement click==7.0, but you'll have click 7.1.2 which is incompatible.
(uncoverml2) C:\Users\rscott\OneDrive - OZ Minerals\Exploration\uncover-ml>uncoverml learn configs\windows_random_forest.yaml
Traceback (most recent call last):
File "c:\users\rscott\appdata\local\continuum\anaconda3\envs\uncoverml2\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "c:\users\rscott\appdata\local\continuum\anaconda3\envs\uncoverml2\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\rscott\AppData\Local\Continuum\anaconda3\envs\uncoverml2\Scripts\uncoverml.exe__main.py", line 4, in
Same thing.
Which I have seen before and I think I solved it with an earlier version of rasterio. Not sure that is doable here?
Although this is ok: (uncoverml2) C:\Users\rscott\OneDrive - OZ Minerals\Exploration\uncover-ml>python Python 3.7.1 | packaged by conda-forge | (default, Mar 13 2019, 13:32:59) [MSC v.1900 64 bit (AMD64)] :: Anaconda, Inc. on win32 Type "help", "copyright", "credits" or "license" for more information.
import rasterio from rasterio import gdal_version quit Use quit() or Ctrl-Z plus Return to exit quit()
Not sure what's happening with Click, unless one of the packages in the pykrige deps is installing Click 7.1.2. You can run pip install click==7.0 --force-reinstall
in the venv before running those pip installs.
Given it works in the REPL my first thought is interpreter issues and possibly that the pip being used to install uncoverml isn't linked with the default python interpreter in that venv. Could you try installing Uncoverml with python -m pip install .
and see how that goes?
I'll dig into this again tomorrow. For now here's also the output of conda list
in the Win10 environment where I've got it working, to confirm the gdal/libgdal/rasterio versions are correct:
affine 2.3.0 py_0
attrs 19.3.0 py_0
blas 1.0 mkl
bzip2 1.0.8 he774522_0
ca-certificates 2020.1.1 0
certifi 2020.6.20 py37_0
cfitsio 3.470 he774522_5
click 7.0 pypi_0 pypi
click-plugins 1.1.1 py_0
cligj 0.5.0 py37_0
curl 7.67.0 h2a8f88b_0
cycler 0.10.0 pypi_0 pypi
cython 0.29.13 pypi_0 pypi
decorator 4.4.2 pypi_0 pypi
eli5 0.10.1 pypi_0 pypi
expat 2.2.5 he025d50_0
fiona 1.8.13.post1 py37hd760492_0
freexl 1.0.5 hfa6e2cd_0
gdal 3.0.2 py37hdf43c64_0
geopandas 0.6.3 pypi_0 pypi
geos 3.8.0 h33f27b4_0
geotiff 1.5.1 h5770a2b_1
git 2.23.0 h6bb4b03_0
hdf4 4.2.13 h712560f_2
hdf5 1.10.4 h7ebc959_0
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
imageio 2.8.0 pypi_0 pypi
impi_rt 2019.7 intel_216 intel
intel-openmp 2020.1 216
intelpython 2020.1 0 intel
jinja2 2.11.2 pypi_0 pypi
joblib 0.15.1 pypi_0 pypi
jpeg 9b hb83a4c4_2
kealib 1.4.7 h07cbb95_6
kiwisolver 1.2.0 pypi_0 pypi
krb5 1.16.4 hc04afaa_0
libboost 1.67.0 hd9e427e_4
libcurl 7.67.0 h2a8f88b_0
libgdal 3.0.2 h1155b67_0
libiconv 1.15 h1df5818_7
libkml 1.3.0 he5f2a48_4
libnetcdf 4.6.1 h411e497_2
libpng 1.6.37 h2a8f88b_0
libpq 11.2 h3235a2c_0
libspatialite 4.3.0a h7ffb84d_0
libssh2 1.9.0 h7a1dbc1_1
libtiff 4.1.0 h56a325e_0
libxml2 2.9.10 h464c3ec_1
lz4-c 1.8.1.2 h2fa13f4_0
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
markupsafe 1.1.1 pypi_0 pypi
matplotlib 3.1.1 pypi_0 pypi
mkl 2020.1 216
mkl-service 2.3.0 py37hb782905_0
mkl_fft 1.1.0 py37h45dec08_0
mkl_random 1.1.1 py37h47e9c7a_0
mpi4py 3.0.3 py37_6 intel
msys2-conda-epoch 20160418 1
munch 2.5.0 py_0
networkx 2.4 pypi_0 pypi
numpy 1.17.2 pypi_0 pypi
openjpeg 2.3.0 h5ec785f_1
openssl 1.1.1g he774522_0
pandas 0.25.1 pypi_0 pypi
pcre 8.44 ha925a31_0
pillow 7.0.0 pypi_0 pypi
pip 20.1.1 py37_1
postgresql 11.2 h3235a2c_0
ppretty 1.3 pypi_0 pypi
proj 6.2.1 h9f7ef89_0
pykrige 1.3.0 pypi_0 pypi
pyparsing 2.4.7 py_0
pyproj 2.4.1 pypi_0 pypi
pyshp 1.2.3 pypi_0 pypi
python 3.7.7 h81c818b_4
python-dateutil 2.8.1 pypi_0 pypi
python-graphviz 0.14 pypi_0 pypi
pytz 2020.1 pypi_0 pypi
pywavelets 1.1.1 pypi_0 pypi
pyyaml 5.1.2 pypi_0 pypi
rasterio 1.1.0 py37h039b02d_0
revrand 1.0.0 pypi_0 pypi
scikit-image 0.15.0 pypi_0 pypi
scikit-learn 0.22.2 pypi_0 pypi
scipy 1.3.1 pypi_0 pypi
seaborn 0.9.0 pypi_0 pypi
setuptools 47.3.1 py37_0
shapely 1.7.0 py37h210f175_0
simplekml 1.3.3 pypi_0 pypi
six 1.15.0 py_0
snuggs 1.4.7 py_0
sqlite 3.32.3 h2a8f88b_0
tabulate 0.8.7 pypi_0 pypi
tbb 2018.0.5 he980bc4_0
tiledb 1.6.3 h7b000aa_0
tk 8.6.10 he774522_0
uncover-ml 0.3.1 dev_0 <develop>
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_2
wheel 0.34.2 py37_0
wincertstore 0.2 py37_0
xerces-c 3.2.2 ha925a31_0
xgboost 0.90 pypi_0 pypi
xz 5.2.5 h62dcd97_0
zlib 1.2.11 h62dcd97_4
zstd 1.3.7 h508b16e_0
Ok, I will have a go.
# Name Version Build Channel
affine 2.3.0 py_0 conda-forge
attrs 19.3.0 py_0 conda-forge
boost-cpp 1.72.0 h2ba7cf6_1 conda-forge
bzip2 1.0.8 hfa6e2cd_2 conda-forge
ca-certificates 2020.6.20 hecda079_0 conda-forge
cairo 1.16.0 h8a5e50b_1003 conda-forge
certifi 2020.6.20 py37hc8dfbb8_0 conda-forge
cfitsio 3.470 he774522_5 conda-forge
click 7.0 pypi_0 pypi
click-plugins 1.1.1 py_0 conda-forge
cligj 0.5.0 py_0 conda-forge
curl 7.71.0 h4b64cdc_0 conda-forge
cycler 0.10.0 pypi_0 pypi
cython 0.29.13 pypi_0 pypi
decorator 4.4.2 pypi_0 pypi
eli5 0.10.1 pypi_0 pypi
expat 2.2.9 he025d50_2 conda-forge
fiona 1.8.13 py37hef9e828_1 conda-forge
freetype 2.10.2 hd328e21_0 conda-forge
freexl 1.0.5 hd288d7e_1002 conda-forge
gdal 3.0.4 py37hd44be9e_9 conda-forge
geopandas 0.6.3 pypi_0 pypi
geos 3.8.1 he025d50_0 conda-forge
geotiff 1.5.1 h3d29ae3_10 conda-forge
gettext 0.19.8.1 hb01d8f6_1002 conda-forge
glib 2.65.0 he4de6d7_0 conda-forge
hdf4 4.2.13 hf8e6fe8_1003 conda-forge
hdf5 1.10.6 nompi_ha405e13_100 conda-forge
icu 64.2 he025d50_1 conda-forge
imageio 2.8.0 pypi_0 pypi
impi_rt 2019.7 intel_216 intel
intel-openmp 2020.1 216
intelpython 2020.1 0 intel
jinja2 2.11.2 pypi_0 pypi
joblib 0.16.0 pypi_0 pypi
jpeg 9d he774522_0 conda-forge
kealib 1.4.13 h3b59ab9_1 conda-forge
kiwisolver 1.2.0 pypi_0 pypi
krb5 1.17.1 hc04afaa_1 conda-forge
libblas 3.8.0 16_mkl conda-forge
libcblas 3.8.0 16_mkl conda-forge
libcurl 7.71.0 h4b64cdc_0 conda-forge
libffi 3.2.1 h6538335_1007 conda-forge
libgdal 3.0.4 h6f60a84_9 conda-forge
libiconv 1.15 hfa6e2cd_1006 conda-forge
libkml 1.3.0 h7e985d0_1011 conda-forge
liblapack 3.8.0 16_mkl conda-forge
libnetcdf 4.7.4 nompi_h256d12c_104 conda-forge
libpng 1.6.37 hfe6a214_1 conda-forge
libpq 12.2 hd9aa61d_1 conda-forge
libspatialite 4.3.0a h51df0ed_1038 conda-forge
libssh2 1.9.0 h3235a2c_2 conda-forge
libtiff 4.1.0 h885aae3_6 conda-forge
libwebp-base 1.1.0 hfa6e2cd_3 conda-forge
libxml2 2.9.10 h5d81f1c_1 conda-forge
lz4-c 1.9.2 h62dcd97_1 conda-forge
m2w64-expat 2.1.1 2
m2w64-gcc-libgfortran 5.3.0 6
m2w64-gcc-libs 5.3.0 7
m2w64-gcc-libs-core 5.3.0 7
m2w64-gettext 0.19.7 2
m2w64-gmp 6.1.0 2
m2w64-libiconv 1.14 6
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
m2w64-xz 5.2.2 2
markupsafe 1.1.1 pypi_0 pypi
matplotlib 3.1.1 pypi_0 pypi
mkl 2020.1 216
mpi4py 3.0.3 py37_6 intel
msys2-conda-epoch 20160418 1
munch 2.5.0 py_0 conda-forge
networkx 2.4 pypi_0 pypi
numpy 1.17.2 pypi_0 pypi
openjpeg 2.3.1 h57dd2e7_3 conda-forge
openssl 1.1.1g he774522_0 conda-forge
pandas 0.25.1 pypi_0 pypi
pcre 8.44 h6538335_0 conda-forge
pillow 7.0.0 pypi_0 pypi
pip 20.1.1 py_1 conda-forge
pixman 0.38.0 hfa6e2cd_1003 conda-forge
poppler 0.87.0 h0cd1227_1 conda-forge
poppler-data 0.4.9 1 conda-forge
postgresql 12.2 he14cc48_1 conda-forge
ppretty 1.3 pypi_0 pypi
proj 7.0.0 haa36216_3 conda-forge
pykrige 1.3.0 pypi_0 pypi
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyproj 2.4.1 pypi_0 pypi
pyshp 1.2.3 pypi_0 pypi
pysptools 0.15.0 pypi_0 pypi
python 3.7.1 h9460c21_1003 conda-forge
python-dateutil 2.8.1 pypi_0 pypi
python-graphviz 0.14 pypi_0 pypi
python_abi 3.7 1_cp37m conda-forge
pytz 2020.1 pypi_0 pypi
pywavelets 1.1.1 pypi_0 pypi
pyyaml 5.1.2 pypi_0 pypi
rasterio 1.1.5 py37h02db82b_0 conda-forge
revrand 1.0.0 pypi_0 pypi
scikit-image 0.15.0 pypi_0 pypi
scikit-learn 0.22.2 pypi_0 pypi
scipy 1.3.1 pypi_0 pypi
seaborn 0.9.0 pypi_0 pypi
setuptools 47.3.1 py37hc8dfbb8_0 conda-forge
shapely 1.7.0 py37he1cf020_3 conda-forge
simplekml 1.3.3 pypi_0 pypi
six 1.15.0 pyh9f0ad1d_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sqlite 3.32.3 he774522_0 conda-forge
tabulate 0.8.7 pypi_0 pypi
tbb 2020.1 he980bc4_0 conda-forge
tiledb 1.7.7 h0b90766_3 conda-forge
tk 8.6.10 hfa6e2cd_0 conda-forge
uncover-ml 0.3.1 pypi_0 pypi
vc 14.1 h869be7e_1 conda-forge
vs2015_runtime 14.16.27012 h30e32a0_2 conda-forge
wheel 0.34.2 py_1 conda-forge
wincertstore 0.2 py37_1003 conda-forge
xerces-c 3.2.2 h6538335_1004 conda-forge
xgboost 0.90 pypi_0 pypi
xz 5.2.5 h2fa13f4_0 conda-forge
zlib 1.2.11 h2fa13f4_1006 conda-forge
zstd 1.4.4 h9f78265_3 conda-forge
so rasterio and gdal from conda, not conda-forge is a difference, anyway
Same error with the -m install.
tried another environment with your python, gdal, rasterio, fiona, same thing, so odd.
Weird gdal thing to work out as other working environments with gdal/rasterio/fiona on this machine, latest one was a python 3.8, but have 3.7 as well.
Ok, did yet another environment and installed gdal rasterio fiona and python 3.7.7 on environment creation. Then did the rest. That seems ok now. So one for tomororw :- (gdaltest) C:\Users\rscott\OneDrive - OZ Minerals\Exploration\uncover-ml>uncoverml learn configs\windows_random_forest.yaml
c:\users\rscott\appdata\local\continuum\anaconda3\envs\gdaltest\lib\site-packages\sklearn\utils\deprecation.py:144: FutureWarning: The sklearn.metrics.scorer module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.metrics. Anything that cannot be imported from sklearn.metrics is now part of the private API.
warnings.warn(message, FutureWarning)
c:\users\rscott\appdata\local\continuum\anaconda3\envs\gdaltest\lib\site-packages\sklearn\utils\deprecation.py:144: FutureWarning: The sklearn.feature_selection.base module is deprecated in version 0.22 and will be removed in version 0.24. The corresponding classes / functions should instead be imported from sklearn.feature_selection. Anything that cannot be imported from sklearn.feature_selection is now part of the private API.
warnings.warn(message, FutureWarning)
+4s WARNING uncoverml.config [P0]: 'features' are required even when loading from pickled data - this is a work around for getting image specifications. Needs to be fixed.
Uncaught exception on processor 0
Traceback (most recent call last):
File "c:\users\rscott\appdata\local\continuum\anaconda3\envs\gdaltest\lib\runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "c:\users\rscott\appdata\local\continuum\anaconda3\envs\gdaltest\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\rscott\AppData\Local\Continuum\anaconda3\envs\gdaltest\Scripts\uncoverml.exe__main.py", line 7, in
(gdaltest) C:\Users\rscott\OneDrive - OZ Minerals\Exploration\uncover-ml>
Had a look print("CONFIG FILE: ", config_file) config = ls.config.Config(config_file, learning=True) print(config)
CONFIG FILE: configs\windows_random_forest.yaml +2s WARNING uncoverml.config [P0]: 'features' are required even when loading from pickled data - this is a work around for getting image specifications. Needs to be fixed. <uncoverml.config.Config object at 0x0000026EE6B435C8> <uncoverml.config.Config object at 0x0000026EE6B435C8>
So exception there by the looks.
Good to see the install is working.
It's not finding the feature files. Check that you've modified the paths in windows_random_forest.yaml
to point to your uncover-ml directory so the test data can be found. I'm working on setting up env vars for this and will add some better error messaging.
Thanks - good old user forgot a hyphen problem.
r2_score = -3.778909672648356
expvar = -2.5983654641788725
smse = 4.778909672648356
lins_ccc = 0.30319986454845826
mll = 9.025337146538163
r2_score_transformed = -1.0490291022967688
expvar_transformed = -0.45637290601685143
smse_transformed = 2.0490291022967684
lins_ccc_transformed = 0.18116475680790609
mll_transformed = 2.7658562876565145
adjusted_r2_score = 15.137460144207907
adjusted_r2_score_transformed = 6.773031101507955
+19s INFO uncoverml.scripts.learn_cli [P0]: Learning full multirandomforest model
+19s INFO uncoverml.models [P0]: training forest 0 using process 0
+19s INFO uncoverml.models [P0]: training forest 1 using process 0
+19s INFO uncoverml.models [P0]: training forest 2 using process 0
+19s INFO uncoverml.models [P0]: training forest 3 using process 0
+19s INFO uncoverml.models [P0]: training forest 4 using process 0
+19s INFO uncoverml.models [P0]: training forest 5 using process 0
+19s INFO uncoverml.models [P0]: training forest 6 using process 0
+19s INFO uncoverml.models [P0]: training forest 7 using process 0
+19s INFO uncoverml.models [P0]: training forest 8 using process 0
+19s INFO uncoverml.models [P0]: training forest 9 using process 0
+19s INFO uncoverml.models [P0]: training forest 10 using process 0
+19s INFO uncoverml.models [P0]: training forest 11 using process 0
+19s INFO uncoverml.models [P0]: training forest 12 using process 0
+19s INFO uncoverml.models [P0]: training forest 13 using process 0
+19s INFO uncoverml.models [P0]: training forest 14 using process 0
+19s INFO uncoverml.models [P0]: training forest 15 using process 0
+19s INFO uncoverml.models [P0]: training forest 16 using process 0
+19s INFO uncoverml.models [P0]: training forest 17 using process 0
+19s INFO uncoverml.models [P0]: training forest 18 using process 0
+19s INFO uncoverml.models [P0]: training forest 19 using process 0
+19s INFO uncoverml.scripts [P0]: Resource usage not yet implemented on Windows. Setting memory usage as 0.
+19s INFO uncoverml.scripts.learn_cli [P0]: Finished! Total mem = 0.0 GB
This is the basic setup I used. conda create --name gdaltest gdal rasterio fiona python==3.7.7
Then just followed through, ignoring pysptools for the time being. There's a minor possibility a VPN did something weird to python package downloads too (perhaps). E.d. DLL oddness.
The multiprocessing example gives some exception looking reports like before, is that a possible path error ? :-
+14s INFO uncoverml.scripts.learn_cli [P0]: Learning full multirandomforest model +14s INFO uncoverml.models [P0]: training forest 0 using process 0 +14s INFO uncoverml.models [P1]: training forest 5 using process 1 +14s INFO uncoverml.models [P2]: training forest 10 using process 2 +14s INFO uncoverml.models [P3]: training forest 15 using process 3 +14s INFO uncoverml.models [P2]: training forest 11 using process 2 +14s INFO uncoverml.models [P3]: training forest 16 using process 3 +14s INFO uncoverml.models [P0]: training forest 1 using process 0 +14s INFO uncoverml.models [P1]: training forest 6 using process 1 +14s INFO uncoverml.models [P2]: training forest 12 using process 2 +14s INFO uncoverml.models [P3]: training forest 17 using process 3 +14s INFO uncoverml.models [P1]: training forest 7 using process 1 +14s INFO uncoverml.models [P0]: training forest 2 using process 0 +14s INFO uncoverml.models [P3]: training forest 18 using process 3 +14s INFO uncoverml.models [P2]: training forest 13 using process 2 +14s INFO uncoverml.models [P1]: training forest 8 using process 1 +14s INFO uncoverml.models [P0]: training forest 3 using process 0 +14s INFO uncoverml.models [P2]: training forest 14 using process 2 +14s INFO uncoverml.models [P1]: training forest 9 using process 1 +14s INFO uncoverml.models [P0]: training forest 4 using process 0 +14s INFO uncoverml.models [P3]: training forest 19 using process 3 +14s INFO uncoverml.scripts [P0]: Resource usage not yet implemented on Windows. Setting memory usage as 0. +14s INFO uncoverml.scripts.learn_cli [P0]: Finished! Total mem = 0.0 GB <uncoverml.config.Config object at 0x0000020455F85448> <uncoverml.config.Config object at 0x000001A658CF5248> <uncoverml.config.Config object at 0x0000017BCD775308> <uncoverml.config.Config object at 0x0000017D4D02B288>
Cheers for the setup, I'll add that as an option for installing via the command line. Isn't that the print you were doing before of the config?
No, that is at the end of doing :- mpiexec -n 4 uncoverml learn configs\windows_random_forest.yaml
So could it be mpi path problem? (given 4 of them?)
I'm not sure, the output you posted is normal operation - what part is the exception looking report?
Closing as the install has worked but feel free to open another issue regarding the output you mentioned.
Ok, this just looked like the exception I was getting earlier <uncoverml.config.Config object at 0x0000020455F85448> <uncoverml.config.Config object at 0x000001A658CF5248> <uncoverml.config.Config object at 0x0000017BCD775308> <uncoverml.config.Config object at 0x0000017D4D02B288>
but if this is standard 'this is the config object' output, then all is good!
Ah right. That's not an exception, that's due to:
print("CONFIG FILE: ", config_file)
config = ls.config.Config(config_file, learning=True)
print(config)
or any other print(config) that may have been added. Printing an object in python outputs its name and memory address.
Yes, true, thanks!
I am following the Windows 10 install instructions.
There are other requirements files, presumably need to do all of them?
Docs just have pip install -r requirements-pykrige.txt pip install .
currently running that order gets :-
\uncover-ml>pip install -r requirements-pykrige.txt Collecting Cython==0.29.13 Downloading Cython-0.29.13-cp37-cp37m-win_amd64.whl (1.7 MB) |████████████████████████████████| 1.7 MB 939 kB/s Collecting numpy==1.17.2 Downloading numpy-1.17.2-cp37-cp37m-win_amd64.whl (12.8 MB) |████████████████████████████████| 12.8 MB 3.3 MB/s Collecting scipy==1.3.1 Downloading scipy-1.3.1-cp37-cp37m-win_amd64.whl (30.3 MB) |████████████████████████████████| 30.3 MB 3.2 MB/s Collecting matplotlib==3.1.1 Downloading matplotlib-3.1.1-cp37-cp37m-win_amd64.whl (9.1 MB) |████████████████████████████████| 9.1 MB 233 kB/s Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in c:\users\rscott\appdata\local\continuum\anaconda3\envs\uncovermlold\lib\site-packages (from matplotlib==3.1.1->-r requirements-pykrige.txt (line 4)) (2.4.7) Collecting cycler>=0.10 Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB) Collecting kiwisolver>=1.0.1 Downloading kiwisolver-1.2.0-cp37-none-win_amd64.whl (57 kB) |████████████████████████████████| 57 kB 1.3 MB/s Collecting python-dateutil>=2.1 Using cached python_dateutil-2.8.1-py2.py3-none-any.whl (227 kB) Requirement already satisfied: six in c:\users\rscott\appdata\local\continuum\anaconda3\envs\uncovermlold\lib\site-packages (from cycler>=0.10->matplotlib==3.1.1->-r requirements-pykrige.txt (line 4)) (1.15.0) ERROR: unmixing 0.2.4.dev0 requires Pillow>=2.3.0, which is not installed. ERROR: unmixing 0.2.4.dev0 requires pysptools>=0.13.5, which is not installed. ERROR: unmixing 0.2.4.dev0 requires scikit-learn>=0.21.3, which is not installed. Installing collected packages: Cython, numpy, scipy, cycler, kiwisolver, python-dateutil, matplotlib Attempting uninstall: numpy Found existing installation: numpy 1.18.5 Uninstalling numpy-1.18.5: Successfully uninstalled numpy-1.18.5 Successfully installed Cython-0.29.13 cycler-0.10.0 kiwisolver-1.2.0 matplotlib-3.1.1 numpy-1.17.2 python-dateutil-2.8.1 scipy-1.3.1
\uncover-ml ERROR: Command errored out with exit status 1: command: 'C:\Users\rscott\AppData\Local\Continuum\anaconda3\envs\uncovermlold\python.exe' -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\Users\rscott\AppData\Local\Temp\pip-req-build-bi0vcvf6\setup.py'"'"'; file='"'"'C:\Users\rscott\AppData\Local\Temp\pip-req-build-bi0vcvf6\setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(file);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' egg_info --egg-base 'C:\Users\rscott\AppData\Local\Temp\pip-pip-egg-info-83razedx' cwd: C:\Users\rscott\AppData\Local\Temp\pip-req-build-bi0vcvf6\ Complete output (13 lines): fatal: No tags can describe '478620809f8e82f459f3962f2478631a62f9bee1'. Try --always, or create some tags. Traceback (most recent call last): File "", line 1, in
File "C:\Users\rscott\AppData\Local\Temp\pip-req-build-bi0vcvf6\setup.py", line 57, in
version=git_desc(),
File "C:\Users\rscott\AppData\Local\Temp\pip-req-build-bi0vcvf6\setup.py", line 49, in git_desc
return subprocess.check_output(desc).decode().strip()
File "C:\Users\rscott\AppData\Local\Continuum\anaconda3\envs\uncovermlold\lib\subprocess.py", line 376, in check_output
**kwargs).stdout
File "C:\Users\rscott\AppData\Local\Continuum\anaconda3\envs\uncovermlold\lib\subprocess.py", line 468, in run
output=stdout, stderr=stderr)
subprocess.CalledProcessError: Command '['git', 'describe', '--tags', '--abbrev=0']' returned non-zero exit status 128.
ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.