I'm trying to install GraphLab on my Windows 10, because I need it for an exams at University.
The problem is that I can't install it with the Launcher.exe and now I'm trying to install it with the command line.
I'm following this guide from their official site.
- Downloaded and installed Anaconda2 4.0.0 -
done it Create a new conda environment with Python 2.7.x conda create -n gl-env python=2.7 anaconda=4.0.0
I've tried to do it, but it ends with this thing:
Using Anaconda Cloud api site https://api.anaconda.org
Fetching package metadata: ....
Solving package specifications: .
Error: Dependencies missing in current win-64 channels:
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> scipy 0.17.0 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> numpy 1.11* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py35_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py34_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> numpy 1.10.4 py27_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> scikit-learn 0.17.1 np110py35_0 -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py27_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> pytables 3.2.2 np110py34_2 -> numexpr 2.5* -> blas * mkl
- anaconda 4.0|4.0.0* -> numexpr 2.5 np110py27_0 -> blas * mkl
You can search for this package on anaconda.org with
anaconda search -t conda blas * mkl
This is my conda list output if it helps:
alabaster 0.7.7 py27_0
anaconda 4.0.0 np110py27_0
anaconda-client 1.4.0 py27_0
anaconda-navigator 1.1.0 py27_0
argcomplete 1.0.0 py27_1
astropy 1.1.2 np110py27_0
babel 2.2.0 py27_0
backports-abc 0.4 <pip>
backports.ssl-match-hostname 3.4.0.2 <pip>
backports_abc 0.4 py27_0
beautifulsoup4 4.4.1 py27_0
bitarray 0.8.1 py27_1
blaze 0.9.1 py27_0
bokeh 0.11.1 py27_0
boto 2.39.0 py27_0
bottleneck 1.0.0 np110py27_0
bzip2 1.0.6 vc9_2 [vc9]
cdecimal 2.3 py27_1
cffi 1.5.2 py27_0
chest 0.2.3 py27_0
cloudpickle 0.1.1 py27_0
clyent 1.2.1 py27_0
colorama 0.3.7 py27_0
comtypes 1.1.2 py27_0
conda 4.0.5 py27_0
conda-build 1.20.0 py27_0
conda-env 2.4.5 py27_0
conda-manager 0.3.1 py27_0
configobj 5.0.6 py27_0
console_shortcut 0.1.1 py27_1
cryptography 1.3 py27_0
curl 7.45.0 vc9_1 [vc9]
cycler 0.10.0 py27_0
cython 0.23.4 py27_0
cytoolz 0.7.5 py27_0
dask 0.8.1 py27_0
datashape 0.5.1 py27_0
decorator 4.0.9 py27_0
dill 0.2.4 py27_0
docutils 0.12 py27_1
enum34 1.1.2 py27_0
et-xmlfile 1.0.1 <pip>
et_xmlfile 1.0.1 py27_0
fastcache 1.0.2 py27_0
flask 0.10.1 py27_1
flask-cors 2.1.2 py27_0
freetype 2.5.5 vc9_0 [vc9]
funcsigs 0.4 py27_0
futures 3.0.3 py27_0
gevent 1.1.0 py27_0
greenlet 0.4.9 py27_0
grin 1.2.1 py27_2
h5py 2.5.0 np110py27_4
hdf5 1.8.15.1 vc9_4 [vc9]
heapdict 1.0.0 py27_0
idna 2.0 py27_0
ipaddress 1.0.14 py27_0
ipykernel 4.3.1 py27_0
ipython 4.1.2 py27_1
ipython-genutils 0.1.0 <pip>
ipython_genutils 0.1.0 py27_0
ipywidgets 4.1.1 py27_0
itsdangerous 0.24 py27_0
jdcal 1.2 py27_0
jedi 0.9.0 py27_0
jinja2 2.8 py27_0
jpeg 8d vc9_0 [vc9]
jsonschema 2.4.0 py27_0
jupyter 1.0.0 py27_2
jupyter-client 4.2.2 <pip>
jupyter-console 4.1.1 <pip>
jupyter-core 4.1.0 <pip>
jupyter_client 4.2.2 py27_0
jupyter_console 4.1.1 py27_0
jupyter_core 4.1.0 py27_0
libpng 1.6.17 vc9_1 [vc9]
libsodium 1.0.3 0
libtiff 4.0.6 vc9_1 [vc9]
llvmlite 0.9.0 py27_0
locket 0.2.0 py27_0
lxml 3.6.0 py27_0
markupsafe 0.23 py27_1
matplotlib 1.5.1 np110py27_0
menuinst 1.3.2 py27_0
mistune 0.7.2 py27_0
mkl 11.3.1 0
mkl-service 1.1.2 py27_0
mpmath 0.19 py27_0
multipledispatch 0.4.8 py27_0
nbconvert 4.1.0 py27_0
nbformat 4.0.1 py27_0
networkx 1.11 py27_0
nltk 3.2 py27_0
nose 1.3.7 py27_0
notebook 4.1.0 py27_2
numba 0.24.0 np110py27_0
numexpr 2.5 np110py27_0
numpy 1.10.4 py27_0
odo 0.4.2 py27_0
openpyxl 2.3.2 py27_0
openssl 1.0.2g vc9_0 [vc9]
pandas 0.18.0 np110py27_0
partd 0.3.2 py27_1
path.py 8.1.2 py27_1
patsy 0.4.0 np110py27_0
pep8 1.7.0 py27_0
pickleshare 0.5 py27_0
pillow 3.1.1 py27_0
pip 8.1.1 py27_1
ply 3.8 py27_0
psutil 4.1.0 py27_0
py 1.4.31 py27_0
pyasn1 0.1.9 py27_0
pycosat 0.6.1 py27_0
pycparser 2.14 py27_0
pycrypto 2.6.1 py27_3
pyflakes 1.1.0 py27_0
pygments 2.1.1 py27_0
pyopenssl 0.15.1 py27_2
pyparsing 2.0.3 py27_0
pyqt 4.11.4 py27_5
pyreadline 2.1 py27_0
pytables 3.2.2 np110py27_2
pytest 2.8.5 py27_0
python 2.7.11 4
python-dateutil 2.5.1 py27_0
pytz 2016.2 py27_0
pywin32 220 py27_1
pyyaml 3.11 py27_3
pyzmq 15.2.0 py27_0
qt 4.8.7 vc9_7 [vc9]
qtawesome 0.3.2 py27_0
qtconsole 4.2.0 py27_1
qtpy 1.0 py27_0
requests 2.9.1 py27_0
rope 0.9.4 py27_1
scikit-image 0.12.3 np110py27_0
scikit-learn 0.17.1 np110py27_0
scipy 0.17.0 np110py27_0
setuptools 20.3 py27_0
simplegeneric 0.8.1 py27_0
singledispatch 3.4.0.3 py27_0
sip 4.16.9 py27_2
six 1.10.0 py27_0
snowballstemmer 1.2.1 py27_0
sockjs-tornado 1.0.1 py27_0
sphinx 1.3.5 py27_0
sphinx-rtd-theme 0.1.9 <pip>
sphinx_rtd_theme 0.1.9 py27_0
spyder 2.3.8 py27_1
sqlalchemy 1.0.12 py27_0
ssl_match_hostname 3.4.0.2 py27_0
statsmodels 0.6.1 np110py27_0
sympy 1.0 py27_0
tables 3.2.2 <pip>
tk 8.5.18 vc9_0 [vc9]
toolz 0.7.4 py27_0
tornado 4.3 py27_0
traitlets 4.2.1 py27_0
unicodecsv 0.14.1 py27_0
vs2008_runtime 9.00.30729.1 0
vs2010_runtime 10.00.40219.1 0
werkzeug 0.11.4 py27_0
wheel 0.29.0 py27_0
xlrd 0.9.4 py27_0
xlsxwriter 0.8.4 py27_0
xlwings 0.7.0 py27_0
xlwt 1.0.0 py27_0
zlib 1.2.8 vc9_2 [vc9]
Do you know what is the problem?
