def get_model_param(self):
model_param = DecisionTreeModelParam()
for node in self.tree_node:
model_param.tree_.add(id=node.id,
sitename=self.role,
fid=node.fid,
bid=node.bid,
weight=node.weight,
is_leaf=node.is_leaf,
left_nodeid=node.left_nodeid,
right_nodeid=node.right_nodeid,
missing_dir=node.missing_dir)
model_param.leaf_count.update(self.leaf_count)
return model_param
def get_model_param(self):
model_param = DecisionTreeModelParam()
for node in self.tree_node:
model_param.tree_.add(id=node.id,
sitename=self.role,
fid=node.fid,
bid=node.bid,
weight=node.weight,
is_leaf=node.is_leaf,
left_nodeid=node.left_nodeid,
right_nodeid=node.right_nodeid,
missing_dir=node.missing_dir)
LOGGER.debug('output tree: epoch_idx:{} tree_idx:{}'.format(self.epoch_idx, self.tree_idx))
return model_param
def get_model_param(self):
model_param = DecisionTreeModelParam()
for node in self.tree_:
model_param.tree_.add(id=node.id,
sitename=node.sitename,
fid=node.fid,
bid=node.bid,
weight=node.weight,
is_leaf=node.is_leaf,
left_nodeid=node.left_nodeid,
right_nodeid=node.right_nodeid,
missing_dir=node.missing_dir)
model_param.split_maskdict.update(self.split_maskdict)
model_param.missing_dir_maskdict.update(self.missing_dir_maskdict)
return model_param
def get_model_param(self):
model_param = DecisionTreeModelParam()
for node in self.tree_node:
weight, mo_weight = self.mo_weight_extract(node)
model_param.tree_.add(id=node.id,
sitename=node.sitename,
fid=node.fid,
bid=node.bid,
weight=weight,
is_leaf=node.is_leaf,
left_nodeid=node.left_nodeid,
right_nodeid=node.right_nodeid,
missing_dir=node.missing_dir,
mo_weight=mo_weight)
model_param.split_maskdict.update(self.split_maskdict)
model_param.missing_dir_maskdict.update(self.missing_dir_maskdict)
model_param.leaf_count.update(self.leaf_count)
return model_param
guest_old = [10000]
guest_new = [1919]
param = BoostingTreeModelParam()
fp0 = FeatureImportanceInfo()
fp0.fullname = 'host_10000_0'
fp0.sitename = 'host:10000'
fp1 = FeatureImportanceInfo()
fp1.sitename = 'host:9999'
fp1.fullname = 'host_9999_1'
fp2 = FeatureImportanceInfo(fullname='x0')
fp2.sitename = 'guest:10000'
feature_importance = [fp0, fp1, fp2]
param.feature_importances.extend(feature_importance)
tree_0 = DecisionTreeModelParam(tree_=[NodeParam(sitename='guest:10000'), NodeParam(sitename='guest:10000'),
NodeParam(sitename='guest:10000')])
tree_1 = DecisionTreeModelParam(tree_=[NodeParam(sitename='host:10000'), NodeParam(sitename='host:9999'),
NodeParam(sitename='host:10000')])
tree_2 = DecisionTreeModelParam(tree_=[NodeParam(sitename='host:9999'), NodeParam(sitename='guest:10000'),
NodeParam(sitename='host:9999')])
tree_3 = DecisionTreeModelParam()
param.trees_.extend([tree_0, tree_1, tree_2, tree_3])
rs = model_migration({'HelloParam': param, 'HelloMeta': {}}, 'HeteroSecureBoost', old_guest_list=guest_old,
new_guest_list=guest_new, old_host_list=host_old, new_host_list=host_new, )
