def __init__(self):
super(Mapper, self).__init__()
self.qlss, self.qrss, self.num_images = {}, {}, {}
try:
tree_ser = pickle.load(open(os.environ['TREE_SER_FN']))
except KeyError:
self.dp = None
else:
self.dp = tree_features.make_predict([tree_ser])
self.min_sparsity = os.environ.get('MIN_SPARSITY', .05)
self.max_root_buffer = os.environ.get('MAX_ROOT_BUFFER', 32)
self.root_count = {}
def __init__(self):
super(Mapper, self).__init__()
self.qlss, self.qrss, self.num_images = {}, {}, {}
try:
tree_ser = pickle.load(open(os.environ['TREE_SER_FN']))
except KeyError:
self.dp = None
else:
self.dp = tree_features.make_predict([tree_ser])
self.min_sparsity = os.environ.get('MIN_SPARSITY', .05)
self.max_root_buffer = os.environ.get('MAX_ROOT_BUFFER', 32)
self.root_count = {}
def __init__(self):
self.tp = tree_features.make_predict(pickle.load(open(os.environ["TREES_SER_FN"])))
self.integral_type = os.environ["INTEGRAL_TYPE"]