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Replace all uses of deprecated function sklearn.datasets.load_boston (#7373)

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* Replace all uses of deprecated function sklearn.datasets.load_boston

* More renaming

* Fix bad name

* Update assertion

* Fix n boosted rounds.

* Avoid over regularization.

* Rebase.

* Avoid over regularization.

* Whac-a-mole

Co-authored-by: fis <jm.yuan@outlook.com>
This commit is contained in:
Philip Hyunsu Cho
2022-01-30 04:27:57 -08:00
committed by GitHub
parent b4340abf56
commit c621775f34
13 changed files with 56 additions and 66 deletions
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8
tests/python/test_linear.py
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@@ -39,8 +39,8 @@ class TestLinear:
# We test a weaker condition that the loss has not increased between the first and last
# iteration
@given(parameter_strategy, strategies.integers(10, 50),
tm.dataset_strategy, coord_strategy, strategies.floats(1e-5, 2.0),
strategies.floats(1e-5, 2.0))
tm.dataset_strategy, coord_strategy, strategies.floats(1e-5, 1.0),
strategies.floats(1e-5, 1.0))
@settings(deadline=None)
def test_coordinate_regularised(self, param, num_rounds, dataset, coord_param, alpha, lambd):
param['updater'] = 'coord_descent'
@@ -69,8 +69,8 @@ class TestLinear:
assert tm.non_increasing(sampled_result)
@given(parameter_strategy, strategies.integers(10, 50),
tm.dataset_strategy, strategies.floats(1e-5, 2.0),
strategies.floats(1e-5, 2.0))
tm.dataset_strategy, strategies.floats(1e-5, 1.0),
strategies.floats(1e-5, 1.0))
@settings(deadline=None)
def test_shotgun_regularised(self, param, num_rounds, dataset, alpha, lambd):
param['updater'] = 'shotgun'