a5d222fcdb
* Error on get_split_value_histogram when feature is categorical * Add a category column to output dataframe
26 lines
767 B
Python
26 lines
767 B
Python
import sys
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import pytest
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import xgboost as xgb
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sys.path.append("tests/python")
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import testing as tm
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def test_tree_to_df_categorical():
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X, y = tm.make_categorical(100, 10, 31, False)
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Xy = xgb.DMatrix(X, y, enable_categorical=True)
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booster = xgb.train({"tree_method": "gpu_hist"}, Xy, num_boost_round=10)
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df = booster.trees_to_dataframe()
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for _, x in df.iterrows():
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if x["Feature"] != "Leaf":
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assert len(x["Category"]) == 1
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def test_split_value_histograms():
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X, y = tm.make_categorical(1000, 10, 13, False)
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reg = xgb.XGBRegressor(tree_method="gpu_hist", enable_categorical=True)
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reg.fit(X, y)
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with pytest.raises(ValueError, match="doesn't"):
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reg.get_booster().get_split_value_histogram("3", bins=5)
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