nhelper 0.1.0

🧪 Behavioral tests for NLP models 🧪

NheLPer

NheLPer is Python package designed to ease behavioral testing of Natural Language Processing models to identify possible capability failures.

1. About the project

Behavioral tests are intended to test a model against some input data while treating as a black box. The aim is to observe the model's reaction against some perturbations that might occur once the model is productionized. For a more detailed explanation on behavioral testing of NLP models I encourage you to read the insightful paper: Beyond Accuracy: Behavioral Testing of NLP models with CheckList

NLPtest provides helper objects for three different aspects:

• easily generate text samples
• test some specific behaviors of your model
• aggregate the tests outcomes of your model

2. Getting started

2.1. Installation

You can directly install NheLPer using pypi:

pip3 install nhelper

2.2. Usage

To help you get the hang of the library we provide three different Notebooks to the user, accessible from the examples/ folder:

1. Samples_generation.ipynb: shows you how to easily generate texts using the Generator object.
2. Please_Behave.ipynb: getting familiar with the Behavior object.
3. End2End_tests.ipynb: how to run tests and get an overview of your model behavior.

References

Below, you can find resources that were used for the creation of NLPtest as well as relevant resources about behavioral testing.

• MadeWithML
• CheckList
• Beyond Accuracy: Behavioral Testing of NLP models with CheckList