use_gpu: True
device: 0
early_stop:
  patience: 5
seed: 12345
federate:
  client_num: 2
  mode: 'distributed'
  make_global_eval: False
  online_aggr: False
  total_round_num: 20
distribute:
  use: True
  server_host: '127.0.0.1'
  server_port: 50051
  role: 'server'
  data_idx: 0
model:
  type: xgb_tree
  lambda_: 0.1
  gamma: 0
  num_of_trees: 10
  max_tree_depth: 3
data:
  root: data/
  type: credit
  splits: [0.8, 0.2]
dataloader:
  type: raw
  batch_size: 2000
criterion:
  type: CrossEntropyLoss
trainer:
  type: verticaltrainer
train:
  optimizer:
    # learning rate for xgb model
    eta: 0.5
vertical:
  use: True
  dims: [5, 10]
  algo: 'xgb'
  data_size_for_debug: 2000
eval:
  freq: 3
  best_res_update_round_wise_key: test_loss