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Support learning rate for zero-hessian objectives. (#8866)

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This commit is contained in:
Jiaming Yuan
2023-03-06 20:33:28 +08:00
committed by GitHub
parent 173096a6a7
commit 228a46e8ad
34 changed files with 464 additions and 434 deletions
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10
demo/guide-python/quantile_regression.py
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@@ -53,9 +53,8 @@ def quantile_loss(args: argparse.Namespace) -> None:
"tree_method": "hist",
"quantile_alpha": alpha,
# Let's try not to overfit.
"learning_rate": 0.01,
"max_depth": 3,
"min_child_weight": 16.0,
"learning_rate": 0.04,
"max_depth": 5,
},
Xy,
num_boost_round=32,
@@ -80,9 +79,8 @@ def quantile_loss(args: argparse.Namespace) -> None:
"objective": "reg:squarederror",
"tree_method": "hist",
# Let's try not to overfit.
"learning_rate": 0.01,
"max_depth": 3,
"min_child_weight": 16.0,
"learning_rate": 0.04,
"max_depth": 5,
},
Xy,
num_boost_round=32,