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Henri Vuollekoski
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Update documentation on seed
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tutorial.ipynb

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"%precision 2\n",
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"\n",
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"# Set an arbitrary seed and a global random state to keep the randomly generated quantities the same between runs\n",
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"seed = 20170530\n",
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"seed = 20170530 # this will be separately given to ELFI\n",
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"np.random.seed(seed)"
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]
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"\n",
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"A common optional keyword argument, accepted by all inference methods, `batch_size` defines how many simulations are performed in each passing through the graph. \n",
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"\n",
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"Another optional keyword is the seed. This ensures that the outcome will be always the same for the same data and model. If you leave it out, a random seed will be taken. Giving `seed='global'` will use the global numpy seed."
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"Another optional keyword is the seed. This ensures that the outcome will be always the same for the same data and model. If you leave it out, a random seed will be taken."
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]
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{

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