def update_tree(self, split_info, reach_max_depth):
LOGGER.info(
"update tree node, splitlist length is {}, tree node queue size is"
.format(len(split_info), len(self.cur_layer_nodes)))
new_tree_node_queue = []
for i in range(len(self.cur_layer_nodes)):
sum_grad = self.cur_layer_nodes[i].sum_grad
sum_hess = self.cur_layer_nodes[i].sum_hess
if reach_max_depth or split_info[i].gain <= \
self.min_impurity_split + consts.FLOAT_ZERO: # if reach max_depth, only convert nodes to leaves
self.cur_layer_nodes[i].is_leaf = True
else:
pid = self.cur_layer_nodes[i].id
self.cur_layer_nodes[i].left_nodeid = self.tree_node_num + 1
self.cur_layer_nodes[i].right_nodeid = self.tree_node_num + 2
self.tree_node_num += 2
left_node = Node(id=self.cur_layer_nodes[i].left_nodeid,
sitename=self.sitename,
sum_grad=split_info[i].sum_grad,
sum_hess=split_info[i].sum_hess,
weight=self.splitter.node_weight(
split_info[i].sum_grad,
split_info[i].sum_hess),
is_left_node=True,
parent_nodeid=pid)
right_node = Node(id=self.cur_layer_nodes[i].right_nodeid,
sitename=self.sitename,
sum_grad=sum_grad - split_info[i].sum_grad,
sum_hess=sum_hess - split_info[i].sum_hess,
weight=self.splitter.node_weight(
sum_grad - split_info[i].sum_grad,
sum_hess - split_info[i].sum_hess),
is_left_node=False,
parent_nodeid=pid)
new_tree_node_queue.append(left_node)
new_tree_node_queue.append(right_node)
self.cur_layer_nodes[i].sitename = split_info[i].sitename
if self.cur_layer_nodes[i].sitename == self.sitename:
self.cur_layer_nodes[i].fid = self.encode(
"feature_idx", split_info[i].best_fid)
self.cur_layer_nodes[i].bid = self.encode(
"feature_val", split_info[i].best_bid,
self.cur_layer_nodes[i].id)
self.cur_layer_nodes[i].missing_dir = self.encode(
"missing_dir", split_info[i].missing_dir,
self.cur_layer_nodes[i].id)
else:
self.cur_layer_nodes[i].fid = split_info[i].best_fid
self.cur_layer_nodes[i].bid = split_info[i].best_bid
self.update_feature_importance(split_info[i])
self.tree_node.append(self.cur_layer_nodes[i])
self.cur_layer_nodes = new_tree_node_queue
def update_host_side_tree(self, split_info, reach_max_depth):
LOGGER.info(
"update tree node, splitlist length is {}, tree node queue size is {}"
.format(len(split_info), len(self.cur_layer_nodes)))
new_tree_node_queue = []
for i in range(len(self.cur_layer_nodes)):
sum_grad = self.cur_layer_nodes[i].sum_grad
sum_hess = self.cur_layer_nodes[i].sum_hess
# when host node can not be further split, fid/bid is set to -1
if reach_max_depth or split_info[i].best_fid == -1:
self.cur_layer_nodes[i].is_leaf = True
else:
self.cur_layer_nodes[i].left_nodeid = self.tree_node_num + 1
self.cur_layer_nodes[i].right_nodeid = self.tree_node_num + 2
self.tree_node_num += 2
left_node = Node(id=self.cur_layer_nodes[i].left_nodeid,
sitename=self.sitename,
sum_grad=split_info[i].sum_grad,
sum_hess=split_info[i].sum_hess)
right_node = Node(
id=self.cur_layer_nodes[i].right_nodeid,
sitename=self.sitename,
sum_grad=sum_grad - split_info[i].sum_grad,
sum_hess=sum_hess - split_info[i].sum_hess,
)
new_tree_node_queue.append(left_node)
new_tree_node_queue.append(right_node)
self.cur_layer_nodes[i].sitename = split_info[i].sitename
self.cur_layer_nodes[i].fid = split_info[i].best_fid
self.cur_layer_nodes[i].bid = split_info[i].best_bid
self.cur_layer_nodes[i].missing_dir = split_info[i].missing_dir
if self.feature_importance_type == 'split':
self.update_feature_importance(split_info[i],
record_site_name=False)
self.tree_node.append(self.cur_layer_nodes[i])
self.cur_layer_nodes = new_tree_node_queue
def sync_cur_to_split_nodes(self, cur_to_split_node, dep=-1, idx=-1):
LOGGER.info("send tree node queue of depth {}".format(dep))
mask_tree_node_queue = copy.deepcopy(cur_to_split_node)
for i in range(len(mask_tree_node_queue)):
mask_tree_node_queue[i] = Node(id=mask_tree_node_queue[i].id)
self.transfer_inst.tree_node_queue.remote(mask_tree_node_queue,
role=consts.HOST,
idx=idx,
suffix=(dep,))
def initialize_root_node(self, ):
root_sum_grad, root_sum_hess = self.get_grad_hess_sum(
self.grad_and_hess)
root_node = Node(id=0,
sitename=self.sitename,
sum_grad=root_sum_grad,
sum_hess=root_sum_hess,
weight=self.splitter.node_weight(
root_sum_grad, root_sum_hess))
return root_node
def initialize_root_node(self):
LOGGER.info('initializing root node')
root_sum_grad, root_sum_hess = self.get_grad_hess_sum(
self.grad_and_hess)
root_node = Node(id=0,
sitename=self.sitename,
sum_grad=root_sum_grad,
sum_hess=root_sum_hess,
weight=self.splitter.node_weight(
root_sum_grad, root_sum_hess))
return root_node
def mix_mode_fit(self):
LOGGER.info('running mix mode')
if self.tree_type == plan.tree_type_dict['guest_feat_only']:
LOGGER.debug('this tree uses guest feature only, skip')
return
if self.self_host_id != self.target_host_id:
LOGGER.debug('not selected host, skip')
return
LOGGER.debug('use local host feature to build tree')
self.sync_encrypted_grad_and_hess()
root_sum_grad, root_sum_hess = self.get_grad_hess_sum(self.grad_and_hess)
self.inst2node_idx = self.assign_instance_to_root_node(self.data_bin,
root_node_id=0) # root node id is 0
self.cur_layer_nodes = [Node(id=0, sitename=self.sitename, sum_grad=root_sum_grad, sum_hess=root_sum_hess,)]
for dep in range(self.max_depth):
tree_action, layer_target_host_id = self.get_node_plan(dep)
self.sync_cur_layer_nodes(self.cur_layer_nodes, dep)
if len(self.cur_layer_nodes) == 0:
break
self.update_instances_node_positions()
batch = 0
split_info = []
for i in range(0, len(self.cur_layer_nodes), self.max_split_nodes):
self.cur_to_split_nodes = self.cur_layer_nodes[i: i + self.max_split_nodes]
batch_split_info = self.compute_best_splits_with_node_plan(tree_action, layer_target_host_id,
node_map=self.get_node_map(
self.cur_to_split_nodes),
dep=dep, batch_idx=batch,
mode=consts.MIX_TREE)
batch += 1
split_info.extend(batch_split_info)
self.update_host_side_tree(split_info, reach_max_depth=False)
self.inst2node_idx = self.host_local_assign_instances_to_new_node()
if self.cur_layer_nodes:
self.update_host_side_tree([], reach_max_depth=True) # mark final layer nodes as leaves
self.update_instances_node_positions() # update instances position
self.host_local_assign_instances_to_new_node() # assign instances to final leaves
self.convert_bin_to_real2() # convert bin num to val
self.sync_leaf_nodes() # send leaf nodes to guest
self.process_leaves_info() # remove encrypted g/h
self.sync_sample_leaf_pos(self.sample_leaf_pos) # sync sample final leaf positions
def handle_leaf_nodes(self, nodes):
"""
decrypte hess and grad and return tree node list that only contains leaves
"""
max_node_id = -1
for n in nodes:
n.sum_hess = self.decrypt(n.sum_hess)
n.sum_grad = self.decrypt(n.sum_grad)
n.weight = self.splitter.node_weight(n.sum_grad, n.sum_hess)
n.sitename = self.sitename
if n.id > max_node_id:
max_node_id = n.id
new_nodes = [Node() for i in range(max_node_id + 1)]
for n in nodes:
new_nodes[n.id] = n
return new_nodes
def set_model_param(self, model_param):
self.tree_node = []
for node_param in model_param.tree_:
_node = Node(id=node_param.id,
sitename=node_param.sitename,
fid=node_param.fid,
bid=node_param.bid,
weight=node_param.weight,
is_leaf=node_param.is_leaf,
left_nodeid=node_param.left_nodeid,
right_nodeid=node_param.right_nodeid,
missing_dir=node_param.missing_dir)
self.tree_node.append(_node)
self.split_maskdict = dict(model_param.split_maskdict)
self.missing_dir_maskdict = dict(model_param.missing_dir_maskdict)
