Added SBR optimizer to a bunch of tests

test/test_optimizers.py

@@ -22,6 +22,7 @@
 from pysindy.optimizers import EnsembleOptimizer
 from pysindy.optimizers import FROLS
 from pysindy.optimizers import MIOSR
+from pysindy.optimizers import SBR
 from pysindy.optimizers import SINDyPI
 from pysindy.optimizers import SR3
 from pysindy.optimizers import SSR
@@ -77,6 +78,7 @@ def predict(self, x):
         (StableLinearSR3, True),
         (TrappingSR3, True),
         (DummyLinearModel, False),
+        (SBR, True),
     ],
 )
 def test_supports_multiple_targets(cls, support):
@@ -103,6 +105,7 @@ def data(request):
         ElasticNet(fit_intercept=False),
         DummyLinearModel(),
         MIOSR(),
+        SBR(),
     ],
 )
 def test_fit(data_derivative_1d, optimizer):
@@ -122,14 +125,14 @@ def test_fit(data_derivative_1d, optimizer):
 
 @pytest.mark.parametrize(
     "optimizer",
-    [STLSQ(), SSR(), SSR(criteria="model_residual"), FROLS(), SR3(), MIOSR()],
+    [STLSQ(), SSR(), SSR(criteria="model_residual"), FROLS(), SR3(), MIOSR(), SBR()],
 )
 def test_not_fitted(optimizer):
     with pytest.raises(NotFittedError):
         optimizer.predict(np.ones((1, 3)))
 
 
-@pytest.mark.parametrize("optimizer", [STLSQ(), SR3()])
+@pytest.mark.parametrize("optimizer", [STLSQ(), SR3(), SBR()])
 def test_complexity_not_fitted(optimizer, data_derivative_2d):
     with pytest.raises(NotFittedError):
         optimizer.complexity
@@ -665,6 +668,7 @@ def test_constrained_sr3_prox_functions(data_derivative_1d, thresholder):
         (StableLinearSR3, {"trimming_fraction": 0.1}),
         (SINDyPI, {}),
         (MIOSR, {"constraint_lhs": [1]}),
+        (SBR, {}),
     ),
 )
 def test_illegal_unbias(data_derivative_1d, opt_cls, opt_args):
@@ -986,6 +990,7 @@ def test_inequality_constraints_reqs():
         StableLinearSR3,
         TrappingSR3,
         MIOSR,
+        SBR,
     ],
 )
 def test_normalize_columns(data_derivative_1d, optimizer):