:orphan: .. only available via index, not via toctree .. title:: Package Recipe 'deepfplearn' .. highlight: bash deepfplearn =========== .. conda:recipe:: deepfplearn :replaces_section_title: :noindex: Link molecular structures of chemicals \(in form of topological fingerprints\) with multiple targets. :homepage: https://github.com/yigbt/deepFPlearn :license: GPL / GPL-3.0-or-later :recipe: /`deepfplearn `_/`meta.yaml `_ .. conda:package:: deepfplearn |downloads_deepfplearn| |docker_deepfplearn| :versions: ``2.0-0``,  ``1.2-0`` :depends chemprop: :depends descriptastorus: :depends flask: ``>=1.1.2`` :depends hyperopt: ``>=0.2.3`` :depends jsonpickle: ``2.1.*`` :depends keras: ``2.9.*`` :depends matplotlib-base: ``3.5.1.*`` :depends numpy: ``1.22.*`` :depends pandas: ``1.4.*`` :depends pandas-flavor: ``>=0.2.0`` :depends python: :depends pytorch: ``>=1.5.1`` :depends rdkit: ``2022.03.*`` :depends scikit-learn: ``1.0.*`` :depends scipy: ``>=1.4.1`` :depends seaborn: ``0.12.2.*`` :depends sphinx: ``>=3.1.2`` :depends tensorboardx: ``>=2.0`` :depends tensorflow-base: :depends tqdm: ``>=4.45.0`` :depends typed-argument-parser: ``>=1.6.1`` :depends umap-learn: ``0.5.3.*`` :depends wandb: ``0.12.*`` :requirements: .. rubric:: Installation You need a conda-compatible package manager (currently either `micromamba `_, `mamba `_, or `conda `_) and the Bioconda channel already activated (see :ref:`set-up-channels`). While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see `here `_ for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others. Given that you already have a conda environment in which you want to have this package, install with:: mamba install deepfplearn and update with:: mamba update deepfplearn To create a new environment, run:: mamba create --name myenvname deepfplearn with ``myenvname`` being a reasonable name for the environment (see e.g. the `mamba docs `_ for details and further options). Alternatively, use the docker container:: docker pull quay.io/biocontainers/deepfplearn: (see `deepfplearn/tags`_ for valid values for ````) .. |downloads_deepfplearn| image:: https://img.shields.io/conda/dn/bioconda/deepfplearn.svg?style=flat :target: https://anaconda.org/bioconda/deepfplearn :alt: (downloads) .. |docker_deepfplearn| image:: https://quay.io/repository/biocontainers/deepfplearn/status :target: https://quay.io/repository/biocontainers/deepfplearn .. _`deepfplearn/tags`: https://quay.io/repository/biocontainers/deepfplearn?tab=tags .. raw:: html Download stats ----------------- .. raw:: html :file: ../../templates/package_dashboard.html Link to this page ----------------- Render an |install-with-bioconda| badge with the following MarkDown:: [![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/deepfplearn/README.html) .. |install-with-bioconda| image:: https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat :target: http://bioconda.github.io/recipes/deepfplearn/README.html