:pencil: update docs (9c6612e1) · Commits · 钟慕尧 / deepchem

README.md

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		@@ -66,7 +66,7 @@ DeepChem has a number of "soft" requirements. These are packages which are neede

		### Install via conda (Recommendation)

		RDKit is a soft requirement package, but many useful methods like molnet are dependent on it.
		RDKit is a soft requirement package, but many useful methods like molnet depend on it.
		If you use conda, we recommend installing RDKit with deepchem.

		`deepchem>=2.4.0`

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		@@ -11,18 +11,21 @@ Google Colab. Check out one of the `DeepChem Tutorials`_ or this
		Conda Installation
		------------------
		If you'd like to install DeepChem locally, we recommend using
		:code:`conda`. If you have :code:`conda` installed, you can install
		DeepChem with GPU support with the one-liner
		:code:`conda` and installing RDKit with deepchem.
		RDKit is a soft requirement package, but many useful methods like
		molnet depend on it.

		.. code-block:: bash

		conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem-gpu
		pip install tensorflow-gpu==1.14
		conda install -y -c rdkit -c conda-forge rdkit deepchem

		For CPU only support instead run

		.. code-block:: bash

		conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem
		pip install tensorflow==1.14
		conda install -y -c rdkit -c conda-forge rdkit deepchem

		Then open your python and try running.

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		@@ -14,6 +14,7 @@ logger = getLogger(__name__)
		logger.addHandler(StreamHandler())
		logger.setLevel(INFO)


		default_channels = [
		"-c",
		"rdkit",