def omniscient_coefficient_optimizer():
from dragonfire.omniscient import Omniscient
import spacy
dataset = [
("Where is the Times Square", ["New York City"]),
("What is the height of Burj Khalifa", ["828 m"]),
("Where is Burj Khalifa", ["Dubai"]),
("What is the height of Great Pyramid of Giza", ["480.6 ft"]),
("Who is playing Jon Snow in Game of Thrones", ["Kit Harington"]),
("What is the atomic number of oxygen", ["8"]),
("What is the official language of Japan", ["Japanese"]),
("What is the real name of Iron Man", ["Tony", "Stark", "Tony Stark"]),
("Who is the conqueror of Constantinople", ["Mehmed II", "Mehmet II", "Mehmet"]),
("When Constantinople was conquered", ["1453"]),
("What is the capital of Turkey", ["Ankara"]),
("What is the largest city of Turkey", ["Istanbul"]),
("What is the name of the world's best university", ["Harvard", "Peking University"]),
("What is the name of the world's longest river", ["Nile", "Amazon"]),
("What is the brand of the world's most expensive car", ["Rolls-Royce"]),
("What is the bloodiest war in human history", ["World War II", "World War I"]),
("What is the name of the best seller book", ["Real Marriage", "'Real Marriage' on"]),
("What is the lowest point in the ocean", ["the Mariana Trench"]),
("Who invented General Relativity", ["Einstein"]),
("When was United Nations formed", ["1945"])
]
omniscient = Omniscient(spacy.load('en'))
best_score = 0
best_coefficient = None
i = 0
while True:
i += 1
print("Iteration: " + str(i))
score = 0
omniscient.randomize_coefficients()
print(omniscient.coefficient)
for (question, answers) in dataset:
if omniscient.respond(question) in answers: score += 1
# purpose of this block is finding the optimum value for coefficients
if score > best_score:
print("\n--- !!! NEW BEST !!! ---")
best_score = score
best_coefficient = omniscient.coefficient
print(str(best_score) + ' / ' + len(dataset))
print(best_coefficient)
print("------------------------\n")
from pymouse import PyMouse # Cross-platform Python mouse module
from tinydb import Query, TinyDB # TinyDB is a lightweight document oriented database optimized for your happiness
from sqlalchemy import create_engine # the Python SQL toolkit and Object Relational Mapper
from sqlalchemy.orm import sessionmaker # ORM submodule of SQLAlchemy
__version__ = '1.0.2'
DRAGONFIRE_PATH = os.path.dirname(
os.path.abspath(inspect.getfile(inspect.currentframe())))
FNULL = open(os.devnull, 'w')
GENDER_PREFIX = {'male': 'sir', 'female': 'my lady'}
CONVERSATION_ID = uuid.uuid4()
userin = None
nlp = spacy.load('en') # Load en_core_web_sm, English, 50 MB, default model
learner = Learner(nlp)
omniscient = Omniscient(nlp)
dc = DeepConversation()
coref = NeuralCoref()
e = Event()
user_answering = {
'status': False,
'for': None,
'reason': None,
'options': None
}
try:
raw_input # Python 2
except NameError:
raw_input = input # Python 3
def omniscient():
'''Returns a :class:`dragonfire.omniscient.Omniscient` instance.'''
return Omniscient(spacy.load('en'))