0.19.0

Added

• Support for Python3.7
• get_intents(text) API in SnipsNLUEngine to get the probabilities of all the intents
• get_slots(text, intent) API in SnipsNLUEngine to extract slots when the intent is known
• The DeterministicIntentParser can now ignore stop words through the new ignore_stop_words configuration parameter
• Co-occurrence features can now be used in the LogRegIntentClassifier

Changed

• The None intent is now handled as a regular intent in the parsing output, which means that:

{
    "input": "foo bar",
    "intent": None,
    "slots": None
}

is replaced with:

{
    "input": "foo bar",
    "intent": {
        "intentName": None,
        "probability": 0.552122
    },
    "slots": []
}

• Patterns of the DeterministicIntentParser are now deduplicated across intents in order to reduce ambiguity
• Improve the use of custom ProcessingUnit through the use of Registrable pattern
• Improve the use of default processing unit configurations
• Improve logging
• Replace snips-nlu-ontology with snips-nlu-parsers

Fixed

• Issue when persisting resources
• Issue when resolving custom entities
• Issue with whitespaces when generating dataset from YAML and text files
• Issue with unicode when using the CLI (Python 2)