Fix compatibility with xgboost 3.0

[WeichenXu123]

xgboost_ray is incompatible with xgboost 3.0.

Reproducing code:

from xgboost_ray import RayDMatrix, RayParams, train, predict
from sklearn.datasets import load_breast_cancer
import xgboost as xgb

train_x, train_y = load_breast_cancer(return_X_y=True)
train_set = RayDMatrix(train_x, train_y)

evals_result = {}
bst = train(
    {
        "objective": "binary:logistic",
        "eval_metric": ["logloss", "error"],
    },
    train_set,
    evals_result=evals_result,
    evals=[(train_set, "train")],
    verbose_eval=False,
    ray_params=RayParams(num_actors=2, cpus_per_actor=1))

bst.save_model("model.xgb")
print("Final training error: {:.4f}".format(
    evals_result["train"]["error"][-1]))

data, labels = load_breast_cancer(return_X_y=True)

dpred = RayDMatrix(data, labels)

bst = xgb.Booster(model_file="model.xgb")
pred_ray = predict(bst, dpred, ray_params=RayParams(num_actors=2))

print(pred_ray[:5])

Error:

      6 train_set = RayDMatrix(train_x, train_y)
      8 evals_result = {}
----> 9 bst = train(
     10     {
     11         "objective": "binary:logistic",
     12         "eval_metric": ["logloss", "error"],
     13     },
     14     train_set,
     15     evals_result=evals_result,
     16     evals=[(train_set, "train")],
     17     verbose_eval=False,
     18     ray_params=RayParams(num_actors=2, cpus_per_actor=1))
     20 bst.save_model("model.xgb")
     21 print("Final training error: {:.4f}".format(
     22     evals_result["train"]["error"][-1]))

File /databricks/python/lib/python3.12/site-packages/xgboost_ray/main.py:1612, in train(...)
   1599 training_state = _TrainingState(
   1600     actors=actors,
   1601     queue=queue,
   ...
   1608     pending_actors=pending_actors,
   1609 )
   1611 try:
-> 1612     bst, train_evals_result, train_additional_results = _train(
   1613         params,
   1614         dtrain,
   1615         boost_rounds_left,
   1616         *args,
   1617         evals=evals,
   1618         ray_params=ray_params,
   1619         cpus_per_actor=cpus_per_actor,
   1620         gpus_per_actor=gpus_per_actor,
   1621         _training_state=training_state,
   1622         **kwargs,
   1623     )
   1624     if training_state.training_started_at > 0.0:
   1625         total_training_time += time.time() - training_state.training_started_at

File /databricks/python/lib/python3.12/site-packages/xgboost_ray/main.py:1194, in _train(...)
   1191 maybe_log("[RayXGBoost] Starting XGBoost training.")
   1193 # Start Rabit tracker for gradient sharing
-> 1194 rabit_process, rabit_args = _start_rabit_tracker(alive_actors)
   1196 # Load checkpoint if we have one. In that case we need to adjust the
   1197 # number of training rounds.
   1198 if _training_state.checkpoint.value:

File /databricks/python/lib/python3.12/site-packages/xgboost_ray/main.py:261, in _start_rabit_tracker(...)
    257 host = get_node_ip_address()
    259 env = {"DMLC_NUM_WORKER": num_workers}
--> 261 rabit_tracker = _RabitTracker(host, num_workers)

File /databricks/python/lib/python3.12/site-packages/xgboost/core.py:729, in require_keyword_args.<locals>.throw_if.<locals>.inner_f(...)
--> 729 return func(**kwargs)

File /databricks/python/lib/python3.12/site-packages/xgboost/tracker.py:98, in RabitTracker.__init__(...)
     96     raise ValueError("Expecting either 'host' or 'task' for sortby.")
     97 if host_ip is not None:
---> 98     get_family(host_ip)  # use python socket to stop early for invalid address
     99 args = make_jcargs(
    100     host=host_ip,
    101     n_workers=n_workers,
    ...
    105     timeout=int(timeout),
    106 )
    107 _check_call(_LIB.XGTrackerCreate(args, ctypes.byref(handle)))

File /databricks/python/lib/python3.12/site-packages/xgboost/tracker.py:14, in get_family(addr)
---> 14 return socket.getaddrinfo(addr, None)[0][0]

File /usr/lib/python3.12/socket.py:963, in getaddrinfo(host, port, family, type, proto, flags)
--> 963 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):

TypeError: getaddrinfo() argument 1 must be string or None