I ran this

pip install cesium-0.9.6.tar.gz

and my output was. Any help would be greatly appreciated.

Processing c:\users\skane\downloads\cesium-0.9.6.tar.gz Requirement already satisfied: scipy>=0.16.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (1.1.0) Requirement already satisfied: scikit_learn>=0.18.1 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.19.1) Requirement already satisfied: pandas>=0.17.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.23.0) Requirement already satisfied: dask>=0.15.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.17.5) Requirement already satisfied: toolz in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.9.0) Requirement already satisfied: gatspy>=0.3.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.3) Requirement already satisfied: cloudpickle in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from cesium==0.9.6) (0.5.3) Requirement already satisfied: numpy>=1.9.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from pandas>=0.17.0->cesium==0.9.6) (1.14.3) Requirement already satisfied: python-dateutil>=2.5.0 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from pandas>=0.17.0->cesium==0.9.6) (2.7.3) Requirement already satisfied: pytz>=2011k in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from pandas>=0.17.0->cesium==0.9.6) (2018.4) Requirement already satisfied: six>=1.5 in c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages (from python-dateutil>=2.5.0->pandas>=0.17.0->cesium==0.9.6) (1.11.0) Building wheels for collected packages: cesium Running setup.py bdist_wheel for cesium ... error Complete output from command "c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\python.exe" -u -c "import setuptools, tokenize;file='C:\Users\skane\AppData\Local\Temp\pip-req-build-yqy_oi\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" bdist_wheel -d C:\Users\skane\AppData\Local\Temp\pip-wheel-va7vz8i --python-tag cp36: running bdist_wheel running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building extension "cesium.features.lomb_scargle" sources building data_files sources build_src: building npy-pkg config files running build_py creating build creating build\lib.win-amd64-3.6 creating build\lib.win-amd64-3.6\cesium copying cesium\data_management.py -> build\lib.win-amd64-3.6\cesium copying cesium\featurize.py -> build\lib.win-amd64-3.6\cesium copying cesium\setup.py -> build\lib.win-amd64-3.6\cesium copying cesium\time_series.py -> build\lib.win-amd64-3.6\cesium copying cesium\util.py -> build\lib.win-amd64-3.6\cesium copying cesium\version.py -> build\lib.win-amd64-3.6\cesium copying cesium_init.py -> build\lib.win-amd64-3.6\cesium creating build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\andrzejak.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\asas_training.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\util.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets_init.py -> build\lib.win-amd64-3.6\cesium\datasets creating build\lib.win-amd64-3.6\cesium\features copying cesium\features\amplitude.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\cadence_features.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\common_functions.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\graphs.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\lomb_scargle.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\lomb_scargle_fast.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\num_alias.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\periodic_model.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\period_folding.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\qso_model.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\scatter_res_raw.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\setup.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\stetson.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features_init_.py -> build\lib.win-amd64-3.6\cesium\features creating build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\fixtures.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_data_management.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_featurize.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_time_series.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_util.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests_init_.py -> build\lib.win-amd64-3.6\cesium\tests creating build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_cadence_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_general_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_graphs.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_lomb_scargle_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\util.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests_init_.py -> build\lib.win-amd64-3.6\cesium\features\tests running build_ext No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler customize MSVCCompiler using build_ext building 'cesium.features._lomb_scargle' extension compiling C sources creating build\temp.win-amd64-3.6\Release\cesium creating build\temp.win-amd64-3.6\Release\cesium\features C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\ucrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\shared" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\um" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\winrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\cppwinrt" /Tccesium\features_lomb_scargle.c /Fobuild\temp.win-amd64-3.6\Release\cesium\features_lomb_scargle.obj _lomb_scargle.c c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2133: 'e': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2133: 'sx0': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2133: 'cx0': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2087: 'm': missing subscript c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2133: 'm': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2133: 'v': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2087: 'tmp': missing subscript c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2133: 'tmp': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'p': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'vec': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'eigs': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'sinx1': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'cosx1': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'sinx2': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'cosx2': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(200): warning C4018: '<': signed/unsigned mismatch c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include\numpy\npy_1_7_deprecated_api.h(12) : Warning Msg: Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION cesium\features_lomb_scargle.c(23369): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data cesium\features_lomb_scargle.c(23375): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data error: Command "C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\ucrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\shared" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\um" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\winrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\cppwinrt" /Tccesium\features_lomb_scargle.c /Fobuild\temp.win-amd64-3.6\Release\cesium\features_lomb_scargle.obj" failed with exit status 2

Failed building wheel for cesium Running setup.py clean for cesium Failed to build cesium Installing collected packages: cesium Running setup.py install for cesium ... error Complete output from command "c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\python.exe" -u -c "import setuptools, tokenize;file='C:\Users\skane\AppData\Local\Temp\pip-req-build-yqy_oi\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record C:\Users\skane\AppData\Local\Temp\pip-record-7mvb49xz\install-record.txt --single-version-externally-managed --compile: running install running build running config_cc unifing config_cc, config, build_clib, build_ext, build commands --compiler options running config_fc unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options running build_src build_src building extension "cesium.features.lomb_scargle" sources building data_files sources build_src: building npy-pkg config files running build_py creating build creating build\lib.win-amd64-3.6 creating build\lib.win-amd64-3.6\cesium copying cesium\data_management.py -> build\lib.win-amd64-3.6\cesium copying cesium\featurize.py -> build\lib.win-amd64-3.6\cesium copying cesium\setup.py -> build\lib.win-amd64-3.6\cesium copying cesium\time_series.py -> build\lib.win-amd64-3.6\cesium copying cesium\util.py -> build\lib.win-amd64-3.6\cesium copying cesium\version.py -> build\lib.win-amd64-3.6\cesium copying cesium_init.py -> build\lib.win-amd64-3.6\cesium creating build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\andrzejak.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\asas_training.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets\util.py -> build\lib.win-amd64-3.6\cesium\datasets copying cesium\datasets_init_.py -> build\lib.win-amd64-3.6\cesium\datasets creating build\lib.win-amd64-3.6\cesium\features copying cesium\features\amplitude.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\cadence_features.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\common_functions.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\graphs.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\lomb_scargle.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\lomb_scargle_fast.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\num_alias.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\periodic_model.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\period_folding.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\qso_model.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\scatter_res_raw.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\setup.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features\stetson.py -> build\lib.win-amd64-3.6\cesium\features copying cesium\features_init_.py -> build\lib.win-amd64-3.6\cesium\features creating build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\fixtures.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_data_management.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_featurize.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_time_series.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests\test_util.py -> build\lib.win-amd64-3.6\cesium\tests copying cesium\tests_init_.py -> build\lib.win-amd64-3.6\cesium\tests creating build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_cadence_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_general_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_graphs.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\test_lomb_scargle_features.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests\util.py -> build\lib.win-amd64-3.6\cesium\features\tests copying cesium\features\tests_init_.py -> build\lib.win-amd64-3.6\cesium\features\tests running build_ext No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler customize MSVCCompiler using build_ext building 'cesium.features._lomb_scargle' extension compiling C sources creating build\temp.win-amd64-3.6\Release\cesium creating build\temp.win-amd64-3.6\Release\cesium\features C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\ucrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\shared" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\um" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\winrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\cppwinrt" /Tccesium\features_lomb_scargle.c /Fobuild\temp.win-amd64-3.6\Release\cesium\features_lomb_scargle.obj _lomb_scargle.c c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_eigs.h(135): error C2133: 'e': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2133: 'sx0': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(81): error C2133: 'cx0': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2087: 'm': missing subscript c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2133: 'm': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(113): error C2133: 'v': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2087: 'tmp': missing subscript c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(156): error C2133: 'tmp': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'p': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'vec': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(172): error C2133: 'eigs': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2057: expected constant expression c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2466: cannot allocate an array of constant size 0 c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'sinx1': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'cosx1': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'sinx2': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(199): error C2133: 'cosx2': unknown size c:\users\skane\appdata\local\temp\pip-req-build-yqy_oi\cesium\features_lomb_scargle.h(200): warning C4018: '<': signed/unsigned mismatch c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include\numpy\npy_1_7_deprecated_api.h(12) : Warning Msg: Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION cesium\features_lomb_scargle.c(23369): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data cesium\features_lomb_scargle.c(23375): warning C4244: 'initializing': conversion from 'double' to 'float', possible loss of data error: Command "C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\lib\site-packages\numpy\core\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\include" -I"C:\Program Files (x86)\Microsoft Visual Studio\2017\BuildTools\VC\Tools\MSVC\14.15.26726\include" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\ucrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\shared" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\um" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\winrt" -I"C:\Program Files (x86)\Windows Kits\10\include\10.0.17134.0\cppwinrt" /Tccesium\features_lomb_scargle.c /Fobuild\temp.win-amd64-3.6\Release\cesium\features_lomb_scargle.obj" failed with exit status 2

----------------------------------------

Command ""c:\program files (x86)\microsoft visual studio\shared\anaconda3_64\python.exe" -u -c "import setuptools, tokenize;file='C:\Users\skane\AppData\Local\Temp\pip-req-build-yqy_oi\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record C:\Users\skane\AppData\Local\Temp\pip-record-7mvb49xz\install-record.txt --single-version-externally-managed --compile" failed with error code 1 in C:\Users\skane\AppData\Local\Temp\pip-req-build-yqy_oi\

• Store feature info in a pd.DataFrame instead of xr.Dataset; for multi-channel features, columns labels are a (feature, channel) tuple.
• Since feature data is simply rectangular now, there's no need for the build_model/predict wrapper functionality.
• Otherwise haven't changed the featurize API yet.

Some open questions:

• What functionality would be useful to add on top of sklearn for model building/prediction?
• What part of the Featureset class do we still want to include?
  • Is .impute redundant w/ sklearn's imputation functionality?
  • Definitely want some form of serialization besides CSV; what about joblib instead of netCDF4? We already use it for models on the front end.

Hello,

I am not able to install the cesium package through pip install even though all the dependencies are satisfied. I am getting something like following. Does anyone know what is going on here:

Thanks!

• The API doc code is now in doc/conf.py so that the Sphinx build generates them automatically. A little hacky, but removes the need to keep them in the repo and remember to rebuild them every time.
• Mocking is now handled by monkey patching __import__ in the Sphinx build to use mocks where needed. No longer necessary to add new requirements to the mock list.
• The list of modules to include in the API docs is still hard-coded; I played around with auto-generating it but it was not nearly as easy to adapt the scikit-image code as I'd hoped, so I think this is fine for now.

Drone is happy but I can't 100% know that this works until it's merged and built on readthedocs, so if you guys aren't around I may just self-merge :smiling_imp:

1. updated travis.yml to run codecov after build passes.
2. added in a .coveragerc file to stop coverage.py from testing scikit-learn imports
3. updated requirements.txt to include coverage.

For Python 3.10 compatibility, "from collections import Iterable" should be changed into "from collections.abc import Iterable". See for example: https://stackoverflow.com/questions/72032032/importerror-cannot-import-name-iterable-from-collections-in-python

This should fix all the remaining Python3 incompatibilities (which were almost all problems with the test code and how data read from files/web requests were being compared to known string values).

Fixes #75.

Related to https://github.com/cesium-ml/cesium/pull/276 https://github.com/cesium-ml/cesium/issues/277.

I think this is the only places where get was used. I updated the requirements.txt.

It would be nice to have a module (mltsp.datasets?) that allows for easy fetching of a few sample datasets; any tutorials we write up could then use these built-in functions rather than requiring the user to manually download the data.

1. Is it ok to download data from public URLs out of our control or should we host them ourselves?
2. asas_training_set.tar.gz in mltsp/data/sample_data isn't being used by any tests; we could migrate it out of the repo and instead make it downloadable through mltsp.datasets? EDIT: we could also just keep the relevant data in the repo, asas_training_set.tar.gz is ~3MB and my EEG dataset is ~6MB, dunno if that's too large or not.

Some libraries were already present on Drone (e.g. requests) and not readthedocs; from now on Drone should fail whenever readthedocs is missing a dependency or mock library.

Also fixes a docstring indentation warning.

• Move relevant code from TCP module into science_features; TCP is no longer in use anywhere, will be removed later
• Rename lc_tools to obs_feature_tools, remove unused legacy code
• Improve consistency of style/parameters between various feature generation functions, including:
  • short_fname should now always be a basename without an extension (this is used as a key in various dictionaries)
  • Some featurization functions were returning a dict, and some a list of a single dict; should always be a dict now, and a lot of tests were changed to reflect this flattening (e.g. result[0]['somekey'] -> result['somekey'])

As far as I know this is functionally finished (all tests passing for me), just needs to be thoroughly reviewed. The new functionality should all have docstrings, but some of the old code that I changed was lacking docstrings to begin with; will try to go back and add them as I review my changes.

When I run make test after a fresh install on an M1 Mac, all tests pass except test_roundtrip_featureset. For that test, I get the below error. I followed the 'Installation from source' instructions.

=============================================== FAILURES ================================================
_______________________________________ test_roundtrip_featureset _______________________________________

tmpdir = local('/private/var/folders/8_/ky643qs168ngjmhrpwcq1fdm0000gn/T/pytest-of-bhealy/pytest-35/test_roundtrip_featureset0')

    def test_roundtrip_featureset(tmpdir):
        fset_path = os.path.join(str(tmpdir), "test.npz")
        for n_channels in [1, 3]:
            for labels in [["class1", "class2"], []]:
                fset, labels = sample_featureset(
                    3,
                    n_channels,
                    ["amplitude"],
                    labels,
                    names=["a", "b", "c"],
                    meta_features=["meta1"],
                )
    
                pred_probs = pd.DataFrame(
                    np.random.random((len(fset), 2)),
                    index=fset.index.values,
                    columns=["class1", "class2"],
                )
    
>               featurize.save_featureset(
                    fset, fset_path, labels=labels, pred_probs=pred_probs
                )

cesium/tests/test_featurize.py:284: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
cesium/featurize.py:446: in save_featureset
    size = max(len(x) for x in arr["index"])
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = rec.array([('amplitude', 0, 0.11471806, 0.60767208, 0.14693643),
           ('meta1', '', 0.41085066, 0.62965584, 0.85743668)],
          dtype=[('feature', 'O'), ('channel', 'O'), ('a', '<f8'), ('b', '<f8'), ('c', '<f8')])
indx = 'index'

    def __getitem__(self, indx):
>       obj = super().__getitem__(indx)
E       ValueError: no field of name index

../miniforge3/envs/cesium-env/lib/python3.11/site-packages/numpy/core/records.py:509: ValueError

======================================== short test summary info ========================================
FAILED cesium/tests/test_featurize.py::test_roundtrip_featureset - ValueError: no field of name index
=============================== 1 failed, 55 passed, 12 warnings in 6.03s ===============================
make: *** [test] Error 1

Per wheel build CI:

numpy.distutils is deprecated since NumPy 1.23.0, as a result of the deprecation of distutils itself. It will be removed for Python >= 3.12. For older Python versions it will remain present. It is recommended to use setuptools < 60.0 for those Python versions. For more details, see: https://numpy.org/devdocs/reference/distutils_status_migration.

Hello,

It appears cesium doesn't work with current versions of the dependencies (e.g. sklearn, dask).

For sklearn as an example:

https://github.com/cesium-ml/cesium/blob/master/cesium/featurize.py#L11 contains

from sklearn.impute import SimpleImputer as Imputer

as per https://stackoverflow.com/questions/59439096/importerror-cannnot-import-name-imputer-from-sklearn-preprocessing,

from sklearn.preprocessing import Imputer was deprecated with scikit-learn v0.20.4 and removed as of v0.22.2.

from sklearn.impute import SimpleImputer
imputer = SimpleImputer(missing_values=np.nan, strategy='mean')

is cesium compatible with the current versions of the dependencies (e.g. sklearn and dask)?

If not, is there a requirements.txt file or a dictionary of dependencies and versions known to work correctly?

To solve the overflow problem in issue #284 :

new py file cesium/features/lomb_scargle_norm.py incorporating in lomb_scargle_model()

• normalization of the input data if opt_normalize
• computation of the Lomb-Scargle model via fit_lomb_scargle()
• rescaling of the output dictionary via rescale_lomb_model()

Notes

1. modifications are solely made in cesium/features/lomb_scargle_norm.py not in the original source file cesium/features/lomb_scargle.py
2. successful local py tests for checking the rescaled output variables in the lomb_scargle_model.

Additional output The full power spectrum and associated frequencies are added in the output dictionary in fit_lomb_scargle() [Lines 299-302]

(cesium.features.lomb_scargle.lomb_scargle_model.py)

When varying the number of harmonics (nharm) in function lomb_scargle_model(), the computed model can showcase some instabilities for high nharmonics, not in a regular pattern though (see attached file). Must specify that these instabilities (when changing nharm) do not appear for all light-curves tested, but still noticed for some data. In the following, one identified case is reported.

Possible source of error In real astronomical TS, the flux/mags values would refer to negative values or a different numerical precision that could possibly be the source of underflow/overflow within the optimization part (refine_psd, get_eigs) in _lomb_scargle.h and _eigs.h

Possible solution normalize the signal before fitting the lomb_scargle (temporary solution?) As a result, the computed model would be a normalized version of the usual model (=computed on initial mag/flux measurements).

Proposition within cesium.features.lomb_scargle.lomb_scargle_model.py :

• compute internally the normalization of the lc = signal entry in functions fit_lomb_scargle() and lomb_scargle_model()
• compute the lomb_scargle model using fit_lomb_scargle() and _lomb_scargle.h. Output: normalized fitted model
• compute adjustments (*scale and +mean) to provide the model on initial flux/mags

Attached files displays of initial light_curve superimposed with the estimated trend from cesium_fit for a varying nharm. The cesium_period is specified for each run. When computing the cesium model on normalized data, no instabilities are detected.

snippet:

from cesium.features.lomb_scargle import lomb_scargle_model
lc ## cesium TS object from MACHO, object_name='6.6692.9', red band
times = lc.time.copy(); mags = lc.measurement.copy(); errors = lc.error.copy(); 
sys_err=0.00; nfreq=1; tone_control=5.0
for nharm in range(1,21):
    model_cesium = lomb_scargle_model(times-min(times), mags, errors,
                                         sys_err=sys_err, nharm=nharm, nfreq=nfreq, tone_control=tone_control)
    period_cesium  = 1/model_cesium['freq_fits'][0]['freq']
    trend_cesium   = model_cesium['freq_fits'][0]['trend']