Loading docs/source/get_started/installation.rst +7 −6 Original line number Diff line number Diff line Loading @@ -32,15 +32,15 @@ We recommend installing RDKit with deepchem if you use conda. Latest version -------------- Deepchem provides support tensorflow, pytorch, jax and each require a induvidual pip Installation. For using general utilites like Molnet, Featurisers, Datasets, etc, then, you install deepchem via pip. .. code-block:: bash pip install deepchem Deepchem provides support for tensorflow, pytorch, jax and each require a induvidual pip Installation. For using models with tensorflow dependencies, you install using .. code-block:: bash Loading Loading @@ -217,7 +217,7 @@ First, please clone the deepchem repository from GitHub. git clone https://github.com/deepchem/deepchem.git cd deepchem We would advise all users to use with a conda environment, following below- We would advise all users to use conda environment, following below- .. code-block:: bash Loading @@ -225,6 +225,7 @@ We would advise all users to use with a conda environment, following below- conda activate deepchem pip install -e . DeepChem provides diffrent additional packages depending on usage & contribution If one also wants to build the tensorflow environment, add this .. code-block:: bash Loading @@ -241,7 +242,7 @@ If one also wants to build the Jax environment, add this .. code-block:: bash pip install -e .[tensorflow] pip install -e .[jax] DeepChem has soft requirements, which can be installed on the fly during development inside the environment but if you would a install all the soft-dependencies at once, then take a look `deepchem/requirements/<https://github.com/deepchem/deepchem/tree/master/requirements>`___ Loading Loading
docs/source/get_started/installation.rst +7 −6 Original line number Diff line number Diff line Loading @@ -32,15 +32,15 @@ We recommend installing RDKit with deepchem if you use conda. Latest version -------------- Deepchem provides support tensorflow, pytorch, jax and each require a induvidual pip Installation. For using general utilites like Molnet, Featurisers, Datasets, etc, then, you install deepchem via pip. .. code-block:: bash pip install deepchem Deepchem provides support for tensorflow, pytorch, jax and each require a induvidual pip Installation. For using models with tensorflow dependencies, you install using .. code-block:: bash Loading Loading @@ -217,7 +217,7 @@ First, please clone the deepchem repository from GitHub. git clone https://github.com/deepchem/deepchem.git cd deepchem We would advise all users to use with a conda environment, following below- We would advise all users to use conda environment, following below- .. code-block:: bash Loading @@ -225,6 +225,7 @@ We would advise all users to use with a conda environment, following below- conda activate deepchem pip install -e . DeepChem provides diffrent additional packages depending on usage & contribution If one also wants to build the tensorflow environment, add this .. code-block:: bash Loading @@ -241,7 +242,7 @@ If one also wants to build the Jax environment, add this .. code-block:: bash pip install -e .[tensorflow] pip install -e .[jax] DeepChem has soft requirements, which can be installed on the fly during development inside the environment but if you would a install all the soft-dependencies at once, then take a look `deepchem/requirements/<https://github.com/deepchem/deepchem/tree/master/requirements>`___ Loading
