Rename shapley unit tests

Signed-off-by: Patrick Bloebaum <bloebp@amazon.com>

tests/gcm/test_shapley.py

@@ -19,7 +19,7 @@ def preserve_random_generator_state():
     random.setstate(random_state)
 
 
-def test_given_few_features_when_estimate_shapley_values_with_auto_approx_then_returns_correct_result():
+def test_given_few_features_when_estimate_shapley_values_with_auto_approx_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(4)
 
     def model(x):
@@ -34,7 +34,7 @@ def test_given_few_features_when_estimate_shapley_values_with_auto_approx_then_r
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_given_many_features_when_estimate_shapley_values_with_auto_approx_then_returns_correct_result():
+def test_given_many_features_when_estimate_shapley_values_with_auto_approx_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -49,7 +49,7 @@ def test_given_many_features_when_estimate_shapley_values_with_auto_approx_then_
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_estimate_shapley_values_symmetry_exact():
+def test_given_many_features_when_estimate_shapley_values_exact_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -64,7 +64,7 @@ def test_estimate_shapley_values_symmetry_exact():
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_estimate_shapley_values_symmetry_exact_fast():
+def test_given_many_features_when_estimate_shapley_values_exact_fast_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -79,7 +79,7 @@ def test_estimate_shapley_values_symmetry_exact_fast():
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_estimate_shapley_values_symmetry_approximation_via_subset():
+def test_given_many_features_when_estimate_shapley_values_with_subset_sampling_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -94,7 +94,7 @@ def test_estimate_shapley_values_symmetry_approximation_via_subset():
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_evaluate_set_function_via_shapley_symmetry_approximation_via_permutation():
+def test_given_many_features_when_estimate_shapley_values_permutation_based_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -109,7 +109,7 @@ def test_evaluate_set_function_via_shapley_symmetry_approximation_via_permutatio
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_estimate_shapley_values_symmetry_approximation_via_early_stopping():
+def test_given_many_features_when_estimate_shapley_values_with_early_stopping_then_returns_correct_linear_shapley_values():
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -124,7 +124,9 @@ def test_estimate_shapley_values_symmetry_approximation_via_early_stopping():
     assert coefficients * (X[0, :] - np.mean(X, axis=0)) == approx(shapley_values, abs=0.001)
 
 
-def test_estimate_shapley_values_symmetry_approximation_via_subset_with_random_seed(preserve_random_generator_state):
+def test_given_specific_random_seed_when_estimate_shapley_values_with_subset_sampling_then_returns_deterministic_result(
+    preserve_random_generator_state,
+):
     X, coefficients = _generate_data(15)
 
     def model(x):
@@ -155,7 +157,7 @@ def test_estimate_shapley_values_symmetry_approximation_via_subset_with_random_s
 
 
 @flaky(max_runs=2)
-def test_estimate_shapley_values_symmetry_approximation_via_permutation_with_random_seed(
+def test_given_specific_random_seed_when_estimate_shapley_values_permutation_based_then_returns_deterministic_result(
     preserve_random_generator_state,
 ):
     X, coefficients = _generate_data(15)
@@ -187,7 +189,7 @@ def test_estimate_shapley_values_symmetry_approximation_via_permutation_with_ran
     assert shapley_values_1 == approx(shapley_values_2, abs=0)
 
 
-def test_estimate_shapley_values_symmetry_approximation_via_early_stopping_with_random_seed(
+def test_given_specific_random_seed_when_estimate_shapley_values_with_early_stopping_then_returns_deterministic_result(
     preserve_random_generator_state,
 ):
     X, coefficients = _generate_data(15)