v0.0.1

Features

• Library of intent classification methods:
  • regexp module for rule-based classification
  • proxy tuning hyperparams of embedding model using retrieval metrics
  • scoring modules for predicting intents probabilities
  • decision-making modules for constructing final prediction for multi-class and multi-label classification and out-of-domain detection
• Auto ML approach to creating intent classifier:
  • greedy optimization for tuning hyperparameters
  • no target leakage, thanks to hold-out validation
  • embeddings caching for improving efficiency
  • both Python API and CLI
• Basic but flexible inference with automatically configured intent classifier
• Easy data manipulation with hugging face datasets integrated

Documentation

• API Reference for all modules, metrics and etc
• User guides with basic and advanced usage both for Python API and CLI
• Theoretical sections on dialogue systems creation and key concepts of AutoIntent