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An efficient and agile neural network intent parser. Padatious is a core component ofMycroft AI.

• Intents are easy to create
• Requires a relatively small amount of data
• Intents run independent of each other
• Easily extract entities (ie. Find the nearestgas station ->place: gas station)
• Fast training with a modular approach to neural networks

Padatious requires the following native packages to be installed:

• FANN (with dev headers)
• Python development headers
• pip3
• swig

Ubuntu:

sudo apt-get install libfann-dev python3-dev python3-pip swig libfann-dev python3-fann2

Next, install Padatious viapip3:

pip3 install padatious

Padatious also works in Python 2 if you are unable to upgrade.

Here's a simple example of how to use Padatious:

frompadatiousimportIntentContainercontainer=IntentContainer('intent_cache')container.add_intent('hello', ['Hi there!','Hello.'])container.add_intent('goodbye', ['See you!','Goodbye!'])container.add_intent('search', ['Search for {query} (using|on) {engine}.'])container.train()print(container.calc_intent('Hello there!'))print(container.calc_intent('Search for cats on CatTube.'))container.remove_intent('goodbye')

Run with:

python3 program.py

Further documentation can be found athttps://mycroft.ai/documentation/padatious/