Auto ML for intent classification.
Documentation: deeppavlov.github.io/AutoIntent.
The project is under active development.
pip install autointentAutoIntent 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.default_optimizer(multilabel=False)
pipeline.fit(dataset)
pipeline.predict(["show me my latest recent transactions"])