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This application allow you, as a trusted user, to limit access to specific apps installed on your device.Q: How to get a list of all possibilities for the output of a TensorFlow model? Is there a way to get a list of all possibilities of the output of a TensorFlow model, such that I can get the most probable prediction without guessing? I have a network that produces predictions using a model_fn function. I’d like to know what the possibilities for the output of the model are, in the code. A: There’s no such API, but you can achieve the same with a trivial transformation of the predictions: class DataGen(object): def __init__(self): self.labels = [0.1, 0.3, 0.5, 0.7, 0.9] self.keys = [np.random.randint(0,9) for _ in range(10)] def predict(self, x): return (x + np.random.rand(len(self.labels))).argmax(axis=1) dg = DataGen() for i in range(10): print(tuple(dg.keys) + (dg.predict(tuple(dg.keys)),)) ## (0, 0) ## (0, 1) ## (1, 0) ## (1, 1) ## (2, 2) ## (2, 3) ## (3, 4) ## (3, 5) ## (4, 6) ## (4, 7) ## (5, 8) ## (5, 9) This will produce a set of 10 lists, each with 10 elements, in which the first value is the correct answer, and the second is the probability that it is the correct answer. You can then take that list and break it up by the order that the instances occurred in, and produce a new prediction list. This is probably not very efficient, and you should probably be writing your own implementation to do this, but it should get you going! Q: Имеет ли смыс c6a93da74d

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