def answer_gg(self, context, word):
""" make a guess regarding topic based on provided context and word
"""
if word in self.matrix.columns:
percept_tag = self.matrix[word].idxmax()
distances = [hp.calc_euclidean_distance(i, self.cs.percepts[percept_tag]) for i in context]
return [distances.index(min(distances)), percept_tag]
else:
return "word unknown"
def get_best_match(self, point):
""" returns best matching percept tag for given point
"""
distance = 9999999999999999999999999999
best_match = ""
for i in self.percepts.keys():
dist = hp.calc_euclidean_distance(point, self.percepts[i])
if dist < distance:
distance = dist
best_match = i
return best_match
