SkFlow is the scikit-learn interface to Google’s opensource AI library TensorFlow. Installation started off straightforward enough and simply installing numpy and sklearn satisfied pre-requisites. Next we install TensorFlow with a simple:
sudo pip install –upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.1-cp27-none-linux_x86_64.whl
And last we install SkFlow itself with:
pip install skflow
Two stumbling blocks came up in by installation.
- When installing Sklearn I got an error “no lapack/blas resources found“. The best solution I found was not re-installation, but simply installing the dev versions of the aforementioned libraries [1]:
apt-get install libblas-dev liblapack-dev
- After having installed Skflow, opening the python interpreter and issuing
“import skflow”
we get the following error:
TypeError: <method ‘max’ of ‘numpy.ndarray’ objects> is not a Python function
After tracing the library causing this error, the fix was to install “Dask” [2], the library at fault, by issuing:
pip install dask[dataframe]
References
[1] https://groups.google.com/forum/#!topic/qiime-forum/8dVlTtlg59M
David Vassallo's Blog 