Just a dot in order to be consistent (#12919)
added a dot to the `7` to make clear it's a float (like every other number)
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@ -447,7 +447,7 @@ estimator = tf.estimator.Estimator(model_fn=model_fn)
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x_train = np.array([1., 2., 3., 4.])
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x_train = np.array([1., 2., 3., 4.])
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y_train = np.array([0., -1., -2., -3.])
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y_train = np.array([0., -1., -2., -3.])
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x_eval = np.array([2., 5., 8., 1.])
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x_eval = np.array([2., 5., 8., 1.])
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y_eval = np.array([-1.01, -4.1, -7, 0.])
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y_eval = np.array([-1.01, -4.1, -7., 0.])
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input_fn = tf.estimator.inputs.numpy_input_fn(
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input_fn = tf.estimator.inputs.numpy_input_fn(
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{"x": x_train}, y_train, batch_size=4, num_epochs=None, shuffle=True)
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{"x": x_train}, y_train, batch_size=4, num_epochs=None, shuffle=True)
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train_input_fn = tf.estimator.inputs.numpy_input_fn(
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train_input_fn = tf.estimator.inputs.numpy_input_fn(
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