معرفی شرکت ها
enlp-0.0.0
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مشاهده بیشترتوضیحات
Python library of NLP functions originally collated by Equinor Knowledge and AI Data Science team.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | enlp-0.0.0 |
| نام | enlp |
| نسخه کتابخانه | 0.0.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Equinor ASA |
| ایمیل نویسنده | clbi@equinor.com |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/enlp/ |
| مجوز | - |
[](https://travis-ci.org/equinor/eNLP)
[](https://dev.azure.com/eNLP/eNLP/_build/latest?definitionId=1&branchName=master)
[](https://www.codacy.com/manual/cebirnie92/eNLP?utm_source=github.com&utm_medium=referral&utm_content=equinor/eNLP&utm_campaign=Badge_Grade)
# Equinor Shared NLP Package
This package contains functions often used in NLP ranging from processing to visualisation. The purpose behind the
package is to collect in one place common functions where a package can be installed to setup an nlp-focussed
environment and most common nlp tasks can be carried out without having to install extra packages.
# INSTALLATION
To install the package directly from github:
$ pip install git+https://github.com/equinor/eNLP.git
If you wish to download the files directly and install, we recommend one of the 3 options as outlined below. Note that
the first two options use a Makefile.
##### Using the Makefile and conda environment:
Download or clone the repo and run
$ make install_conda
which will create a conda environment with the package installed and all the necessary requirements. Prior to using
the package remember to change into your new environment.
$ source activate enlp
##### Using the Makefile and pip requirements:
Download or clone the repo and run
$ make install
##### Without using the Makefile:
Download or clone the repo and run
$ pip install -r requirements.txt
$ pip install .
# DEVELOPING AND CONTRIBUTING
We actively encourage others to contribute to the development of the package.
### DEV INSTALLATION
To install the extra requirements for development, the following options can be
followed:
##### Using the Makefile and conda environment:
Download or clone the repo and run
$ make dev-install_conda
$ source activate enlp
##### Using the Makefile and pip requirements:
Download or clone the repo and run
$ make dev-install
##### Without using the Makefile:
Download or clone the repo and run
$ pip install -r requirements-dev.txt
$ pip install -e .
## CONTRIBUTING GUIDELINES
Prior to contributing back to the package, please make the documentation and read the section on contributing. In
particular, prior to contributing please ensure all tests run and all new code is adequately documented and any
required new tests have been wrote.
## DEV DOCUMENTATION
The documentation includes reference documentation for all functions as well as an example gallery.
To make the documentation,
$ make doc
And then open the documentation and navigate to the example gallery,
$ cd /docs/build/html
$ open index.html
.
All new features should have clear doc strings and have their paths included in the relevant file under
`docs/source/api/`.
Examples of usage are also very welcome to be added to the example gallery.
## TESTING
All new features should have tests written for them and should not break any of the old tests. To check tests run
$ make tests
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | matplotlib |
| - | pandas |
| ==2.0.18 | spacy |
| - | nltk |
| - | gensim |
| - | scikit-learn |
| - | rake-nltk |
| - | wordcloud |
نحوه نصب
نصب پکیج whl enlp-0.0.0:
pip install enlp-0.0.0.whl
نصب پکیج tar.gz enlp-0.0.0:
pip install enlp-0.0.0.tar.gz