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Fix xgboost.dask import #1716

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Merged
jrbourbeau merged 1 commit into from
Jun 9, 2025
Merged

Fix xgboost.dask import #1716

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10 changes: 5 additions & 5 deletions tests/runtime/test_xgboost.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
import pytest

dask_ml = pytest.importorskip("dask_ml")
xgb = pytest.importorskip("xgboost")
dxgb = pytest.importorskip("xgboost.dask")


def test_xgboost_distributed_training(small_client):
Expand All @@ -20,8 +20,8 @@ def test_xgboost_distributed_training(small_client):
)

# Create the XGBoost DMatrix for our training and testing splits
dtrain = xgb.dask.DaskDMatrix(small_client, X_train, y_train)
dtest = xgb.dask.DaskDMatrix(small_client, X_test, y_test)
dtrain = dxgb.DaskDMatrix(small_client, X_train, y_train)
dtest = dxgb.DaskDMatrix(small_client, X_test, y_test)

# Set model parameters (XGBoost defaults)
params = {
Expand All @@ -32,10 +32,10 @@ def test_xgboost_distributed_training(small_client):
"objective": "reg:squarederror",
"grow_policy": "depthwise",
}
output = xgb.dask.train(
output = dxgb.train(
small_client, params, dtrain, num_boost_round=5, evals=[(dtrain, "train")]
)

# make predictions
y_pred = xgb.dask.predict(small_client, output, dtest)
y_pred = dxgb.predict(small_client, output, dtest)
assert y_pred.shape[0] == y_test.shape[0].compute()