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Enforce correct data shape. (#5191)

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* Fix syncing DMatrix columns.
* notes for tree method.
* Enable feature validation for all interfaces except for jvm.
* Better tests for boosting from predictions.
* Disable validation on JVM.
This commit is contained in:
Jiaming Yuan
2020-01-13 15:48:17 +08:00
committed by GitHub
parent 8cbcc53ccb
commit 7b65698187
14 changed files with 108 additions and 60 deletions
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12
tests/python-gpu/test_gpu_prediction.py
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@@ -13,6 +13,10 @@ class TestGPUPredict(unittest.TestCase):
np.random.seed(1)
test_num_rows = [10, 1000, 5000]
test_num_cols = [10, 50, 500]
# This test passes for tree_method=gpu_hist and tree_method=exact. but
# for `hist` and `approx` the floating point error accumulates faster
# and fails even tol is set to 1e-4. For `hist`, the mismatching rate
# with 5000 rows is 0.04.
for num_rows in test_num_rows:
for num_cols in test_num_cols:
dtrain = xgb.DMatrix(np.random.randn(num_rows, num_cols),
@@ -27,7 +31,7 @@ class TestGPUPredict(unittest.TestCase):
"objective": "binary:logistic",
"predictor": "gpu_predictor",
'eval_metric': 'auc',
'verbosity': '3'
'tree_method': 'gpu_hist'
}
bst = xgb.train(param, dtrain, iterations, evals=watchlist,
evals_result=res)
@@ -43,11 +47,11 @@ class TestGPUPredict(unittest.TestCase):
cpu_pred_val = bst_cpu.predict(dval, output_margin=True)
np.testing.assert_allclose(cpu_pred_train, gpu_pred_train,
rtol=1e-3)
rtol=1e-6)
np.testing.assert_allclose(cpu_pred_val, gpu_pred_val,
rtol=1e-3)
rtol=1e-6)
np.testing.assert_allclose(cpu_pred_test, gpu_pred_test,
rtol=1e-3)
rtol=1e-6)
def non_decreasing(self, L):
return all((x - y) < 0.001 for x, y in zip(L, L[1:]))