def _load_items(self, w):
versions = ["5.11.1", "5.14.1"]
for version in versions:
static_item_list = w.static_get_item_list(item_list_data='gold,stats,into,from', version=version)
for item_id, item_dict in static_item_list['data'].items():
item_dict['version'] = version
item = Item.from_dict(item_dict)
item.save()
def _load_items(self, w):
versions = ["5.11.1", "5.14.1"]
for version in versions:
static_item_list = w.static_get_item_list(
item_list_data='gold,stats,into,from', version=version)
for item_id, item_dict in static_item_list['data'].items():
item_dict['version'] = version
item = Item.from_dict(item_dict)
item.save()
def __init__(self, model_name):
super(SetOptimizer, self).__init__()
self.model = ItemSetModel()
self.model.load(model_name)
self.item_ids = [x.item_id for x in Item.objects().all()]
self.item_ids.sort()
def __init__(self, model_name):
super(SetOptimizer, self).__init__()
self.model = ItemSetModel()
self.model.load(model_name)
self.item_ids = [x.item_id for x in Item.objects().all()]
self.item_ids.sort()
def _optimize_build(self):
opt = SetOptimizer('RandomForest_updated')
res = opt.optimize(72, [4, 1, 1, 1, 1, 1])
for item in res.x:
print(Item.objects(item_id=item).first().name)
def _optimize_build(self):
opt = SetOptimizer('RandomForest_updated')
res = opt.optimize(72, [4,1,1,1,1,1])
for item in res.x:
print(Item.objects(item_id=item).first().name)
