italian_csv_type_prediction
=========================================================================================
|travis| |sonar_quality| |sonar_maintainability| |codacy|
|code_climate_maintainability| |pip| |downloads|
This package is an attempt at predicting common types in CSVs about Italian people
and places using ensemble heuristics with Decision Random Forests and Spacy NLP tool.
How do I install this package?
----------------------------------------------
As usual, just download it using pip:
.. code:: shell
apt-get update -y
apt-get install -qyy apt-utils build-essential software-properties-common locales locales-all curl autoconf automake libtool python-dev pkg-config
curl https://raw.githubusercontent.com/LucaCappelletti94/italian_csv_type_prediction/master/setup.sh | sh
pip install italian_csv_type_prediction
Tests Coverage
----------------------------------------------
Since some software handling coverages sometimes
get slightly different results, here's three of them:
|coveralls| |sonar_coverage| |code_climate_coverage|
Usage examples
----------------------------------------------
To get the typization of a list of data you can use:
.. code:: python
from italian_csv_type_prediction import predict_types
predictions = predict_types([
#list of words to predict goes here
])
.. |travis| image:: https://travis-ci.org/LucaCappelletti94/italian_csv_type_prediction.png
:target: https://travis-ci.org/LucaCappelletti94/italian_csv_type_prediction
:alt: Travis CI build
.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=alert_status
:target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction
:alt: SonarCloud Quality
.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=sqale_rating
:target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction
:alt: SonarCloud Maintainability
.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=coverage
:target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction
:alt: SonarCloud Coverage
.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/italian_csv_type_prediction/badge.svg?branch=master
:target: https://coveralls.io/github/LucaCappelletti94/italian_csv_type_prediction?branch=master
:alt: Coveralls Coverage
.. |pip| image:: https://badge.fury.io/py/italian_csv_type_prediction.svg
:target: https://badge.fury.io/py/italian_csv_type_prediction
:alt: Pypi project
.. |downloads| image:: https://pepy.tech/badge/italian_csv_type_prediction
:target: https://pepy.tech/badge/italian_csv_type_prediction
:alt: Pypi total project downloads
.. |codacy| image:: https://api.codacy.com/project/badge/Grade/b7f2b7fbc54a424f8786d0602b8dd13e
:target: https://www.codacy.com/manual/LucaCappelletti94/italian_csv_type_prediction?utm_source=github.com&utm_medium=referral&utm_content=LucaCappelletti94/italian_csv_type_prediction&utm_campaign=Badge_Grade
:alt: Codacy Maintainability
.. |code_climate_maintainability| image:: https://api.codeclimate.com/v1/badges/92e64629c7cf783b39ab/maintainability
:target: https://codeclimate.com/github/LucaCappelletti94/italian_csv_type_prediction/maintainability
:alt: Maintainability
.. |code_climate_coverage| image:: https://api.codeclimate.com/v1/badges/92e64629c7cf783b39ab/test_coverage
:target: https://codeclimate.com/github/LucaCappelletti94/italian_csv_type_prediction/test_coverage
:alt: Code Climate Coverate
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"description": "italian_csv_type_prediction\n=========================================================================================\n|travis| |sonar_quality| |sonar_maintainability| |codacy|\n|code_climate_maintainability| |pip| |downloads|\n\nThis package is an attempt at predicting common types in CSVs about Italian people\nand places using ensemble heuristics with Decision Random Forests and Spacy NLP tool.\n\nHow do I install this package?\n----------------------------------------------\nAs usual, just download it using pip:\n\n.. code:: shell\n\n apt-get update -y\n apt-get install -qyy apt-utils build-essential software-properties-common locales locales-all curl autoconf automake libtool python-dev pkg-config\n curl https://raw.githubusercontent.com/LucaCappelletti94/italian_csv_type_prediction/master/setup.sh | sh\n \n pip install italian_csv_type_prediction\n\nTests Coverage\n----------------------------------------------\nSince some software handling coverages sometimes\nget slightly different results, here's three of them:\n\n|coveralls| |sonar_coverage| |code_climate_coverage|\n\nUsage examples\n----------------------------------------------\nTo get the typization of a list of data you can use:\n\n.. code:: python\n\n from italian_csv_type_prediction import predict_types\n\n predictions = predict_types([\n #list of words to predict goes here\n ])\n\n\n.. |travis| image:: https://travis-ci.org/LucaCappelletti94/italian_csv_type_prediction.png\n :target: https://travis-ci.org/LucaCappelletti94/italian_csv_type_prediction\n :alt: Travis CI build\n\n.. |sonar_quality| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=alert_status\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction\n :alt: SonarCloud Quality\n\n.. |sonar_maintainability| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=sqale_rating\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction\n :alt: SonarCloud Maintainability\n\n.. |sonar_coverage| image:: https://sonarcloud.io/api/project_badges/measure?project=LucaCappelletti94_italian_csv_type_prediction&metric=coverage\n :target: https://sonarcloud.io/dashboard/index/LucaCappelletti94_italian_csv_type_prediction\n :alt: SonarCloud Coverage\n\n.. |coveralls| image:: https://coveralls.io/repos/github/LucaCappelletti94/italian_csv_type_prediction/badge.svg?branch=master\n :target: https://coveralls.io/github/LucaCappelletti94/italian_csv_type_prediction?branch=master\n :alt: Coveralls Coverage\n\n.. |pip| image:: https://badge.fury.io/py/italian_csv_type_prediction.svg\n :target: https://badge.fury.io/py/italian_csv_type_prediction\n :alt: Pypi project\n\n.. |downloads| image:: https://pepy.tech/badge/italian_csv_type_prediction\n :target: https://pepy.tech/badge/italian_csv_type_prediction\n :alt: Pypi total project downloads\n\n.. |codacy| image:: https://api.codacy.com/project/badge/Grade/b7f2b7fbc54a424f8786d0602b8dd13e\n :target: https://www.codacy.com/manual/LucaCappelletti94/italian_csv_type_prediction?utm_source=github.com&utm_medium=referral&utm_content=LucaCappelletti94/italian_csv_type_prediction&utm_campaign=Badge_Grade\n :alt: Codacy Maintainability\n\n.. |code_climate_maintainability| image:: https://api.codeclimate.com/v1/badges/92e64629c7cf783b39ab/maintainability\n :target: https://codeclimate.com/github/LucaCappelletti94/italian_csv_type_prediction/maintainability\n :alt: Maintainability\n\n.. |code_climate_coverage| image:: https://api.codeclimate.com/v1/badges/92e64629c7cf783b39ab/test_coverage\n :target: https://codeclimate.com/github/LucaCappelletti94/italian_csv_type_prediction/test_coverage\n :alt: Code Climate Coverate",
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