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Update workflows for TensorFlow/Keras 2.14
Signed-off-by: Beat Buesser <[email protected]>
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tests/estimators/classification/test_scikitlearn.py

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@@ -315,7 +315,7 @@ def test_class_gradient_int_2(self):
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def test_class_gradient_list_1(self):
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grad_predicted = self.classifier.class_gradient(self.x_test_iris[0:1], label=[1])
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grad_expected = [[[-0.56317311, -0.70493763, -0.98874801, -0.67053026]]]
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grad_expected = [[[-0.56317311, -0.70493763, -0.98874801, -0.67106276]]]
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for i_shape in range(4):
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self.assertAlmostEqual(grad_predicted[0, 0, i_shape], grad_expected[0][0][i_shape], 3)

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