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Requirements file and environment file with explicit specs only
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environment.yml

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name: pymc3_ppp
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name: ppp
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channels:
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- conda-forge
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- anaconda
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- defaults
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- conda-forge
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dependencies:
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- blas=1.0=mkl
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- ca-certificates=2018.11.29=ha4d7672_0
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- certifi=2018.11.29=py36_1000
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- cycler=0.10.0=py_1
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- freetype=2.9.1
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- h5py=2.9.0
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- hdf5=1.10.4
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- intel-openmp=2019.1=144
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- joblib=0.12.5=py_0
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- kiwisolver=1.0.1
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- libffi=3.2.1
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- libpng=1.6.36
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- llvm-meta=7.0.0=0
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- mako=1.0.7=py_1
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- markupsafe=1.1.0
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- matplotlib=3.0.2
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- matplotlib-base=3.0.2
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- mkl=2019.1=144
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- mkl_fft=1.0.10
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- mkl_random
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- ncurses
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- numpy=1.15.4
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- numpy-base=1.15.4
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- openssl
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- pandas=0.24.1
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- patsy=0.5.1=py_0
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- pip=19.0.2=py36_0
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- pygpu=0.7.6
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- pymc3=3.6=py36_1000
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- pyparsing=2.3.1=py_0
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- python-dateutil=2.8.0=py_0
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- pytz=2018.9=py_0
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- readline
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- python=3.6
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- notebook
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- mkl
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- graphviz
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- seaborn
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- scipy=1.2.0
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- setuptools=40.8.0=py36_0
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- six=1.12.0=py36_1000
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- sqlite
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- theano=1.0.3=py36_0
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- tornado
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- tqdm=4.31.1=py_0
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- wheel=0.32.3=py36_0
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- xz
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- zlib
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prefix: /Users/peadarcoyle/miniconda3/envs/pymc3_ppp
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- pydot
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- matplotlib
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- arviz[version='>=0.7']
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- pymc3
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- scipy
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- pandas
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- theano
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- numpy
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- mkl-service
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- watermark
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- jupyter

requirements.txt

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# Tested on Python 3.6
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# Data libs
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pymc3
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theano
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mkl
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mkl-service
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pandas
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numpy
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scipy
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# Plotting
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arviz>=0.7
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matplotlib
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seaborn
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pydot
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graphviz
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# Notebook
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jupyter
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notebook
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# Reproducibility
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watermark

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