Skopt Tutorial - Search Dimensions

skopt_named_dimensions.py

dim_learning_rate = Real(low=1e-4, high=1e-2, prior='log-uniform',
                         name='learning_rate')
dim_num_dense_layers = Integer(low=1, high=5, name='num_dense_layers')
dim_num_input_nodes = Integer(low=1, high=512, name='num_input_nodes')
dim_num_dense_nodes = Integer(low=1, high=28, name='num_dense_nodes')
dim_activation = Categorical(categories=['relu', 'sigmoid'],
                             name='activation')
dim_batch_size = Integer(low=1, high=128, name='batch_size')
dim_adam_decay = Real(low=1e-6,high=1e-2,name="adam_decay")

dimensions = [dim_learning_rate,
              dim_num_dense_layers,
              dim_num_input_nodes,
              dim_num_dense_nodes,
              dim_activation,
              dim_batch_size,
              dim_adam_decay
             ]
default_parameters = [1e-3, 1,512, 13, 'relu',64, 1e-3]