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environment.yml
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environment.yml
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name: machine_learning_cookbook
channels:
- defaults
dependencies:
- _nb_ext_conf=0.4.0=py36_1
- _tflow_1100_select=0.0.2=eigen
- absl-py=0.4.0=py36h28b3542_0
- anaconda-client=1.7.1=py36_0
- appdirs=1.4.3=py36h28b3542_0
- appnope=0.1.0=py36hf537a9a_0
- asn1crypto=0.24.0=py36_0
- astor=0.7.1=py36_0
- attrs=18.1.0=py36_0
- automat=0.7.0=py36_0
- backcall=0.1.0=py36_0
- blas=1.0=mkl
- bleach=2.1.4=py36_0
- ca-certificates=2018.03.07=0
- certifi=2018.8.24=py36_1
- cffi=1.11.5=py36h342bebf_0
- chardet=3.0.4=py36_1
- clyent=1.2.2=py36_1
- constantly=15.1.0=py36h28b3542_0
- cryptography=2.3.1=py36hdbc3d79_0
- cycler=0.10.0=py36hfc81398_0
- decorator=4.3.0=py36_0
- entrypoints=0.2.3=py36_2
- freetype=2.9.1=hb4e5f40_0
- gast=0.2.0=py36_0
- grpcio=1.12.1=py36hd9629dc_0
- h5py=2.8.0=py36h3c9e6ae_0
- hdf5=1.10.2=hfa1e0ec_1
- html5lib=1.0.1=py36_0
- hyperlink=18.0.0=py36_0
- idna=2.7=py36_0
- incremental=17.5.0=py36_0
- intel-openmp=2018.0.3=0
- ipykernel=4.8.2=py36_0
- ipython=6.5.0=py36_0
- ipython_genutils=0.2.0=py36h241746c_0
- ipywidgets=7.4.0=py36_0
- jedi=0.12.1=py36_0
- jinja2=2.10=py36_0
- jsonschema=2.6.0=py36hb385e00_0
- jupyter_client=5.2.3=py36_0
- jupyter_core=4.4.0=py36_0
- keras=2.2.2=0
- keras-applications=1.0.4=py36_1
- keras-base=2.2.2=py36_0
- keras-preprocessing=1.0.2=py36_1
- kiwisolver=1.0.1=py36h0a44026_0
- libcxx=4.0.1=h579ed51_0
- libcxxabi=4.0.1=hebd6815_0
- libedit=3.1.20170329=hb402a30_2
- libffi=3.2.1=h475c297_4
- libgfortran=3.0.1=h93005f0_2
- libpng=1.6.34=he12f830_0
- libprotobuf=3.6.0=hd9629dc_0
- libsodium=1.0.16=h3efe00b_0
- markdown=2.6.11=py36_0
- markupsafe=1.0=py36h1de35cc_1
- matplotlib=2.2.3=py36h54f8f79_0
- mistune=0.8.3=py36h1de35cc_1
- mkl=2018.0.3=1
- mkl_fft=1.0.4=py36h5d10147_1
- mkl_random=1.0.1=py36h5d10147_1
- nb_anacondacloud=1.4.0=py36_0
- nb_conda=2.2.1=py36_0
- nb_conda_kernels=2.1.0=py36_0
- nbconvert=5.3.1=py36_0
- nbformat=4.4.0=py36h827af21_0
- nbpresent=3.0.2=py36_1
- ncurses=6.1=h0a44026_0
- notebook=5.6.0=py36_0
- numpy=1.15.0=py36h648b28d_0
- numpy-base=1.15.0=py36h8a80b8c_0
- openssl=1.0.2p=h1de35cc_0
- pandas=0.23.4=py36h6440ff4_0
- pandoc=2.2.1=h1a437c5_0
- pandocfilters=1.4.2=py36_1
- parso=0.3.1=py36_0
- patsy=0.5.0=py36_0
- pexpect=4.6.0=py36_0
- pickleshare=0.7.4=py36hf512f8e_0
- pip=10.0.1=py36_0
- prometheus_client=0.3.1=py36_0
- prompt_toolkit=1.0.15=py36haeda067_0
- protobuf=3.6.0=py36h0a44026_0
- ptyprocess=0.6.0=py36_0
- pyasn1=0.4.4=py36_0
- pyasn1-modules=0.2.2=py36_0
- pycparser=2.18=py36_1
- pygments=2.2.0=py36h240cd3f_0
- pyopenssl=18.0.0=py36_0
- pyparsing=2.2.0=py36_1
- pysocks=1.6.8=py36_0
- python=3.6.6=hc167b69_0
- python-dateutil=2.7.3=py36_0
- pytz=2018.5=py36_0
- pyyaml=3.13=py36h1de35cc_0
- pyzmq=17.1.2=py36h1de35cc_0
- readline=7.0=hc1231fa_4
- requests=2.19.1=py36_0
- scikit-learn=0.19.1=py36hf9f1f73_0
- scipy=1.1.0=py36hf1f7d93_0
- seaborn=0.9.0=py36_0
- send2trash=1.5.0=py36_0
- service_identity=17.0.0=py36h28b3542_0
- setuptools=40.0.0=py36_0
- simplegeneric=0.8.1=py36_2
- six=1.11.0=py36_1
- sqlalchemy=1.2.11=py36h1de35cc_0
- sqlite=3.24.0=ha441bb4_0
- statsmodels=0.9.0=py36h1d22016_0
- tensorboard=1.10.0=py36hdc36e2c_0
- tensorflow=1.10.0=eigen_py36h0906837_0
- tensorflow-base=1.10.0=eigen_py36h4f0eeca_0
- termcolor=1.1.0=py36_1
- terminado=0.8.1=py36_1
- testpath=0.3.1=py36h625a49b_0
- tk=8.6.7=h35a86e2_3
- tornado=5.1=py36h1de35cc_0
- traitlets=4.3.2=py36h65bd3ce_0
- twisted=17.5.0=py36_0
- urllib3=1.23=py36_0
- wcwidth=0.1.7=py36h8c6ec74_0
- webencodings=0.5.1=py36_1
- werkzeug=0.14.1=py36_0
- wheel=0.31.1=py36_0
- widgetsnbextension=3.4.0=py36_0
- xlrd=1.1.0=py36_1
- xz=5.2.4=h1de35cc_4
- yaml=0.1.7=hc338f04_2
- zeromq=4.2.5=h0a44026_0
- zlib=1.2.11=hf3cbc9b_2
- zope=1.0=py36_0
- zope.interface=4.5.0=py36h1de35cc_0
- pip:
- lifelines==0.14.6
prefix: /Users/f00/anaconda/envs/machine_learning_cookbook