Update bayesian optimization example in docs
@@ -342,11 +342,11 @@ settings:
matrix:
learning_rate:
- uniform: [0, 0.9]
+ uniform: [0.001, 0.09]
dropout:
values: [0.25, 0.3]
activation:
- pvalues: [[relu, 0.1], [sigmoid, 0.8]]
+ values: [relu, sigmoid]
early_stopping:
- metric: accuracy
