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Updated documentation
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tjkessler committed Mar 24, 2019
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Expand Up @@ -102,7 +102,8 @@ learning rate, beta, decay and epsilon values, and number of neurons per hidden
sv.tune_hyperparameters(50, 50)

# By default, all bees will use the same set assignments; to shuffle them:
sv.tune_hyperparameters(50, 50, shuffle=True, split=[0.7, 0.2, 0.1])
sv.tune_hyperparameters(50, 50, shuffle='all', split=[0.7, 0.2, 0.1])
# To shuffle only the training sets (learning and validation), supply `train` instead

# By default, bees are evaluated on their performance across all sets; to specify a set to
# perform the evaluation:
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