def __init__(self, train_ids=np.arange(0, dtype='int'), param=empty(), settings=empty(), cache_tmp={}):
Tree.__init__(self, train_ids, param, settings, cache_tmp)
self.ancestry = []
self.nodes_processed_itr = []
self.grow_nodes_itr = []
self.log_sis_ratio_d = {}
if cache_tmp:
self.do_not_grow = False
self.grow_nodes = [0]
def __init__(self,
train_ids=np.arange(0, dtype='int'),
param=empty(),
settings=empty(),
cache_tmp={}):
Tree.__init__(self, train_ids, param, settings, cache_tmp)
self.inner_pc_pairs = [
] # list of nodes where both parent/child are non-terminal
self.both_children_terminal = []
def _init__(self,train_ids =np.arange(0,dtype='int'),param= empty(),settings=empty(),cache_tmp = {}):
Tree.__init(self,train_ids,param,settings,cache_tmp)
self.ancestry = []
self.processed_nodes_iterations = []
self.grow_nodes_iterations = []
self.log_sis_ratio_d ={}
if cache_tmp:
self.do_not_grow = False
self.grow_nodes = [0]
def __init__(self, train_ids=np.arange(0, dtype='int'), param=empty(), settings=empty(), cache_tmp={}):
Tree.__init__(self, train_ids, param, settings, cache_tmp)
self.inner_pc_pairs = [] # list of nodes where both parent/child are non-terminal
self.both_children_terminal = []
