%global _empty_manifest_terminate_build 0 Name: python-nlp-primitives Version: 2.10.0 Release: 1 Summary: natural language processing primitives for Featuretools License: BSD 3-clause URL: https://pypi.org/project/nlp-primitives/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b3/f0/c5034c106873854af7b1b69c65377d13ff44290eefb7626d40d231d95dc9/nlp_primitives-2.10.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-pandas Requires: python3-featuretools Requires: python3-nltk Requires: python3-scikit-learn Requires: python3-woodwork Requires: python3-tensorflow-hub Requires: python3-tensorflow Requires: python3-tensorflow-metal Requires: python3-tensorflow-macos Requires: python3-ruff Requires: python3-black[jupyter] Requires: python3-pre-commit Requires: python3-nlp-primitives[test] Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-xdist %description # NLP Primitives

nlp_primitives is a Python library with Natural Language Processing Primitives, intended for use with [Featuretools](https://github.com/Featuretools/featuretools). nlp_primitives allows you to make use of text data in your machine learning pipeline in the same pipeline as the rest of your data. ## Installation There are two options for installing nlp_primitives. Both of the options will also install Featuretools if it is not already installed. The first option is to install a version of nlp_primitives that does not include Tensorflow. With this option, primitives that depend on Tensorflow cannot be used. Currently, the only primitive that can not be used with this install option is ``UniversalSentenceEncoder``. #### PyPi nlp_primitives without Tensorflow can be installed with pip: ```shell python -m pip install nlp_primitives ``` #### conda-forge or from the conda-forge channel on conda: ```shell conda install -c conda-forge nlp-primitives ``` The second option is to install the complete version of nlp_primitives, which will also install Tensorflow and allow use of all primitives. To install the complete version of nlp_primitives with pip: ```shell python -m pip install "nlp_primitives[complete]" ``` or from the conda-forge channel on conda: ```shell conda install -c conda-forge nlp-primitives-complete ``` ### Demos * [Blog Post](https://blog.featurelabs.com/natural-language-processing-featuretools/) * [Predict resturant review ratings](https://github.com/FeatureLabs/predict-restaurant-rating) ## Calculating Features With nlp_primitives primtives in `featuretools`, this is how to calculate the same feature. ```python from featuretools.nlp_primitives import PolarityScore data = ["hello, this is a new featuretools library", "this will add new natural language primitives", "we hope you like it!"] pol = PolarityScore() pol(data) ``` ``` 0 0.365 1 0.385 2 1.000 dtype: float64 ``` ## Combining Primitives In `featuretools`, this is how to combine nlp_primitives primitives with built-in or other installed primitives. ```python import featuretools as ft from featuretools.nlp_primitives import TitleWordCount from featuretools.primitives import Mean entityset = ft.demo.load_retail() feature_matrix, features = ft.dfs(entityset=entityset, target_dataframe_name='products', agg_primitives=[Mean], trans_primitives=[TitleWordCount]) feature_matrix.head(5) ``` ``` MEAN(order_products.quantity) MEAN(order_products.unit_price) MEAN(order_products.total) TITLE_WORD_COUNT(description) product_id 10002 16.795918 1.402500 23.556276 3.0 10080 13.857143 0.679643 8.989357 3.0 10120 6.620690 0.346500 2.294069 2.0 10123C 1.666667 1.072500 1.787500 3.0 10124A 3.2000 0.6930 2.2176 5.0 ``` ## Development To install from source, clone this repo and run ```bash make installdeps-test ``` This will install all pip dependencies. ## Built at Alteryx **NLP Primitives** is an open source project maintained by [Alteryx](https://www.alteryx.com). To see the other open source projects we’re working on visit [Alteryx Open Source](https://www.alteryx.com/open-source). If building impactful data science pipelines is important to you or your business, please get in touch.

%package -n python3-nlp-primitives Summary: natural language processing primitives for Featuretools Provides: python-nlp-primitives BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-nlp-primitives # NLP Primitives

%package help Summary: Development documents and examples for nlp-primitives Provides: python3-nlp-primitives-doc %description help # NLP Primitives

%prep %autosetup -n nlp-primitives-2.10.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-nlp-primitives -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Apr 11 2023 Python_Bot - 2.10.0-1 - Package Spec generated