Commit 908a0919 authored by Bharath Ramsundar's avatar Bharath Ramsundar Committed by GitHub
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Merge pull request #829 from kmckiern/dataset_prep_tutorial 

Tutorial detailing the creation of a deepchem dataset from novel data
parents 7dec6843 5484e77f

datasets/Positive Modulators Summary_ 918.TUC _ v1.xlsx

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devtools/jenkins/test_notebooks.sh

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@@ -15,6 +15,9 @@ conda install -y ipywidgets 
conda install -y zlib

conda install -y cmake

yes | pip install gym[atari]

conda install -y -c auto pubchempy

conda install -y xlrd

conda install -y seaborn



cd examples/notebooks

nosetests --with-timer tests.py --with-xunit --xunit-file=notebook_tests.xml|| true

docs/source/notebooks/dataset_preparation.rst

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Creating a high fidelity DeepChem dataset from experimental data

================================================================



.. notebook:: dataset_preparation

docs/source/notebooks/index.rst

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@@ -23,6 +23,7 @@ them in Jupyter:: 
   graph_convolutional_networks_for_tox21

   mnist 

   Multitask_Networks_on_MUV 

   dataset_preparation





Contributing tutorials

examples/notebooks/assets/dataset_preparation_gui.png

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