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A neural network intent parser
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MycroftAI/padatious
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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/
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