recipe scispacy

A full SpaCy pipeline and models for scientific/biomedical documents.

Homepage:

https://allenai.github.io/scispacy

Developer docs:

https://github.com/allenai/scispacy

License:

APACHE / Apache-2.0

Recipe:

/scispacy/meta.yaml

package scispacy

versions:

0.5.5-0

depends conllu:

depends joblib:

depends nmslib-metabrainz:

2.1.3

depends numpy:

depends pysbd:

depends python:

>=3.6

depends requests:

>=2.0.0,<3.0.0

depends scikit-learn:

>=0.20.3

depends scipy:

depends spacy:

>=3.7.0,<3.8.0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see 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 scispacy

and update with::

   mamba update scispacy

To create a new environment, run:

mamba create --name myenvname scispacy

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/scispacy:<tag>

(see `scispacy/tags`_ for valid values for ``<tag>``)

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Link to this page

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