Merge branch 'master' into new-numpy

rasbt · web-flow · commit 97294f4ff4eb · 2023-05-17T08:44:05.000-04:00
diff --git a/docs/sources/CHANGELOG.md b/docs/sources/CHANGELOG.md
@@ -20,6 +20,7 @@ The CHANGELOG for the current development version is available at
 ##### Changes
 
 - Address NumPy deprecations to make mlxtend compatible to NumPy 1.24 
+- Changed the signature of the `LinearRegression` model of sklearn in the test removing the `normalize` parameter as it is deprecated. ([#1036](https://github.com/rasbt/mlxtend/issues/1036))
 
 ##### New Features and Enhancements
 
diff --git a/mlxtend/regressor/tests/test_stacking_cv_regression.py b/mlxtend/regressor/tests/test_stacking_cv_regression.py
@@ -84,7 +84,7 @@ def test_multivariate():
 def test_multivariate_class():
     lr = LinearRegression()
     ridge = Ridge(random_state=1)
-    meta = LinearRegression(normalize=True)
+    meta = LinearRegression()
     stregr = StackingCVRegressor(
         regressors=[lr, ridge], meta_regressor=meta, multi_output=True, random_state=0
     )
diff --git a/mlxtend/regressor/tests/test_stacking_regression.py b/mlxtend/regressor/tests/test_stacking_regression.py
@@ -58,7 +58,7 @@ def test_multivariate():
 def test_multivariate_class():
     lr = LinearRegression()
     ridge = Ridge(random_state=1)
-    meta = LinearRegression(normalize=True)
+    meta = LinearRegression()
     stregr = StackingRegressor(
         regressors=[lr, ridge], meta_regressor=meta, multi_output=True
     )

Original file line number	Diff line number	Diff line change
`@@ -84,7 +84,7 @@ def test_multivariate():`
`84`	`84`	`def test_multivariate_class():`
`85`	`85`	`lr = LinearRegression()`
`86`	`86`	`ridge = Ridge(random_state=1)`
`87`		`- meta = LinearRegression(normalize=True)`
	`87`	`+ meta = LinearRegression()`
`88`	`88`	`stregr = StackingCVRegressor(`
`89`	`89`	`regressors=[lr, ridge], meta_regressor=meta, multi_output=True, random_state=0`
`90`	`90`	`)`
Original file line number	Diff line number	Diff line change
`@@ -58,7 +58,7 @@ def test_multivariate():`
`58`	`58`	`def test_multivariate_class():`
`59`	`59`	`lr = LinearRegression()`
`60`	`60`	`ridge = Ridge(random_state=1)`
`61`		`- meta = LinearRegression(normalize=True)`
	`61`	`+ meta = LinearRegression()`
`62`	`62`	`stregr = StackingRegressor(`
`63`	`63`	`regressors=[lr, ridge], meta_regressor=meta, multi_output=True`
`64`	`64`	`)`