bump(release): v0.2.1 → v0.2.2

superlinear-ai · Apr 1, 2024 · 9e8058f · 9e8058f
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,3 +1,9 @@
+## v0.2.2 (2024-04-01)
+
+### Fix
+
+- xfail sklearn's check_regressors_int (#9)
+
 ## v0.2.1 (2024-03-30)
 
 ### Fix

diff --git a/pyproject.toml b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]  # https://python-poetry.org/docs/pyproject/
 name = "conformal-tights"
-version = "0.2.1"
+version = "0.2.2"
 description = "A scikit-learn meta-estimator for computing tight conformal predictions"
 authors = ["Laurent Sorber <[email protected]>"]
 readme = "README.md"

diff --git a/tests/test_coherent_linear_quantile_regressor.py b/tests/test_coherent_linear_quantile_regressor.py
@@ -1,15 +1,11 @@
 """Test the Coherent Linear Quantile Regressor."""
 
-import os
-
 import numpy as np
-import pytest
 from sklearn.utils.estimator_checks import check_estimator
 
 from conformal_tights._coherent_linear_quantile_regressor import CoherentLinearQuantileRegressor
 
 
-@pytest.mark.skipif(os.getenv("CI") == "true", reason="Skip on GitHub Actions")
 def test_sklearn_check_estimator() -> None:
     """Check that the meta-estimator conforms to sklearn's standards."""
     model = CoherentLinearQuantileRegressor(quantiles=np.array([0.5]))