Numeric sentiment prediction

[MaxGit095]

I am currently performing a sentiment analysis using PyABSA, using the following code:

''' 
You can check this library: https://github.com/yangheng95/PyABSA 
I am using the latest version 2.0
'''
from pyabsa import ABSAInstruction, available_checkpoints

myreviews = ['I really enjoyed the place, e.g. the service and food were great','Nice and clean place, would go again.', 'I love the chef, he makes the best pasta']
    
checkpoint_map = available_checkpoints()
quadruple_extractor = ABSAInstruction.ABSAGenerator("multilingual")
quadruple_result = quadruple_extractor.predict(review, max_length=128)

However, my result does currently look like this:
{'text': 'I really enjoyed the place, e.g. the service and food were great', 'Quadruples': [{'aspect': 'service', 'polarity': 'positive', 'opinion': 'enjoyed', 'category': 'SERVICE#GENERAL'}, {'aspect': 'food', 'polarity': 'positive', 'opinion': 'great', 'category': 'FOOD#QUALITY'}]}

My problem is that I need the sentiment (polarity) as a figure, but I can't find any description in the documentation.