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A tool for automatically configuring a text classification pipeline for intent prediction.

Project description

AutoIntent

Auto ML for intent classification.

Documentation: deeppavlov.github.io/AutoIntent.

The project is under active development.

Installation

pip install autointent

About

AutoIntent is an open source tool for automatic configuration of a text classification pipeline for intent prediction.

The task of intent detection is one of the main subtasks in creating task-oriented dialogue systems, along with scriptwriting and slot filling. AutoIntent project offers users the following:

  • A convenient library of methods for intent classification that can be used in a sklearn-like "fit-predict" format.
  • An AutoML approach to creating classifiers, where the only thing needed is to upload a set of labeled data.

Example of building an intent classifier in a couple of lines of code:

from autointent import Pipeline, Dataset

dataset = Dataset.from_json(path_to_json)
pipeline = Pipeline.from_preset("light")
pipeline.fit(dataset)
pipeline.predict(["show me my latest transactions"])

Disclaimer

This project is in development phase. Bugs and breaking changes are expected. Contributions and feedback are welcome! See CONTRIBUTING.md.

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