def from_bson_to_model(bson):
model_id = bson['model_id']
processed = bson['processed']
w_vector = bson['w_vector']
d = bson['d']
if processed:
score = bson['score']
else:
score = None
generation = bson['generation']
model = LearningModel(w_vector, d, model_id)
model.generation = generation
model.processed = processed
model.score = score
return model
def create_model(w_array, d):
w_array_mut = [i for i in w_array.ravel()]
model = LearningModel(w_array_mut, d)
model.processed = False
return model