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Attempt at predicting common types in CSVs about Italian people and places using Spacy NLP tool.

Project description

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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:

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 Coverage SonarCloud Coverage Code Climate Coverate

Usage examples

To get the typization of a list of data you can use:

from italian_csv_type_prediction import predict_types

predictions = predict_types([
    #list of words to predict goes here
])

Currently supported types

We currently support the following types:

TODO

Implementation notes

To train on GPU: https://mc.ai/spacy-training-using-gpu/

Project details


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