def train_wrapper(config, ray_params):
train_ray(
path="/data/classification.parquet",
num_workers=32,
num_boost_rounds=100,
num_files=128,
regression=False,
use_gpu=False,
ray_params=ray_params,
lightgbm_params=config,
)
def train():
train_ray(
path="/data/classification.parquet",
num_workers=4,
num_boost_rounds=100,
num_files=25,
regression=False,
use_gpu=False,
ray_params=ray_params,
lightgbm_params=None,
)
def train():
os.environ["TEST_OUTPUT_JSON"] = output
train_ray(
path="/data/classification.parquet",
num_workers=4,
num_boost_rounds=100,
num_files=25,
regression=False,
use_gpu=False,
ray_params=ray_params,
lightgbm_params=None,
)
failure_state = FailureState.remote()
ray_params = RayParams(max_actor_restarts=2,
num_actors=4,
cpus_per_actor=4,
gpus_per_actor=0)
_, additional_results, _ = train_ray(
path="/data/classification.parquet",
num_workers=None,
num_boost_rounds=100,
num_files=200,
regression=False,
use_gpu=False,
ray_params=ray_params,
lightgbm_params=None,
callbacks=[
TrackingCallback(),
FailureInjection(id="first_fail",
state=failure_state,
ranks=[1],
iteration=14),
FailureInjection(id="second_fail",
state=failure_state,
ranks=[0],
iteration=34),
],
)
print("PASSED.")
