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Fixed sample code in Randomized Search. #99

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Jul 8, 2015
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Fixed sample code in Randomized Search. #99

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4 changes: 2 additions & 2 deletions docs/guide_advanced.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -98,8 +98,8 @@ In the cases when you have large numbers of hyper-parameters that you want to tr
from scipy import stats
from sklearn.grid_search import RandomizedSearchCV

rs = RandomizedSearchCV(nn, param_grid={
learning_rate: stats.uniform(0.001, 0.05),
rs = RandomizedSearchCV(nn, param_distributions={
'learning_rate': stats.uniform(0.001, 0.05),
'hidden0__units': stats.randint(4, 12),
'hidden0__type': ["Rectifier", "Sigmoid", "Tanh"]})
rs.fit(a_in, a_out)
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