:sparkles: add test for tutorials docs (51168267) · Commits · 钟慕尧 / deepchem

.travis.yml

+1 −0

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		@@ -44,6 +44,7 @@ script:
		- if [[ "$CHECK_ONLY_DOCS" == "true" ]]; then
		cd docs && pip install -r requirements.txt;
		make clean html;
		make doctest_tutorials;
		make doctest_examples;
		travis_terminate $?;
		fi

+3 −1

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		@@ -15,9 +15,11 @@ help:
		.PHONY: help Makefile

		doctest_examples:
		export PYTHONWARNINGS=
		@$(SPHINXBUILD) -M doctest "$(SOURCEDIR)" "$(BUILDDIR)" source/get_started/examples.rst;

		doctest_tutorials:
		@$(SPHINXBUILD) -M doctest "$(SOURCEDIR)" "$(BUILDDIR)" source/get_started/tutorials.rst;

		# Catch-all target: route all unknown targets to Sphinx using the new
		# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
		%: Makefile

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		@@ -167,7 +167,7 @@ If you are using the Windows and the PowerShell:


		.. _`DeepChem Tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials
		.. _`forum post`: https://forum.deepchem.io/t/getting-deepchem-running-in-colab/81/7?u=nd-02110114
		.. _`forum post`: https://forum.deepchem.io/t/getting-deepchem-running-in-colab/81/7
		.. _`DockerHub`: https://hub.docker.com/repository/docker/deepchemio/deepchem
		.. _`docker/conda-forge`: https://github.com/deepchem/deepchem/tree/master/docker/conda-forge
		.. _`docker/master`: https://github.com/deepchem/deepchem/tree/master/docker/master

+6 −6

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		@@ -124,11 +124,11 @@ We'll show you the example about the usage of splitters.

		.. doctest::

		>>> splitter = dc.split.RandomSplitter()
		>>> splitter = dc.splits.RandomSplitter()
		>>> # split 5 datapoints in the ratio of train:valid:test = 3:1:1
		>>> train_dataset, valid_dataset, test_dataset = splitter.split(
		>>> dataset=dataset, frac_train=0.6, frac_valid=0.2, frac_valid=0.2
		>>> )
		>>> train_dataset, valid_dataset, test_dataset = splitter.train_valid_test_split(
		... dataset=dataset, frac_train=0.6, frac_valid=0.2, frac_test=0.2
		... )
		>>> len(train_dataset)
		>>> 3
		>>> len(valid_dataset)
		@@ -161,10 +161,10 @@ We'll show you the example about the usage of models.
		>>> model.fit(train_dataset)
		>>> valid_preds = model.predict(valid_dataset)
		>>> valid_preds.shape
		(1, 1)
		(1,)
		>>> test_preds = model.predict(test_dataset)
		>>> test_preds.shape
		(1, 1)
		(1,)

		Here, we've used the :code:`SklearnModel` and trained the model.
		Even if you want to train a deep learning model which is implemented

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		@@ -69,7 +69,7 @@ Then open your python and try running.
		import deepchem

		.. _`DeepChem Tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials
		.. _`forum post`: https://forum.deepchem.io/t/getting-deepchem-running-in-colab/81/7?u=nd-02110114
		.. _`forum post`: https://forum.deepchem.io/t/getting-deepchem-running-in-colab/81/7

		About Us
		--------
		@@ -94,7 +94,7 @@ To listen in, please email X.Y@gmail.com, where X=bharath and Y=ramsundar to int

		get_started/installation
		get_started/requirements
		get_started/tutorial
		get_started/tutorials
		get_started/examples

		.. toctree::