Lambda-School-Labs/allay-ds

program: exploration/sweep_cnn_train.py
method: bayes
metric:
  name: val_accuracy
  goal: maximize
parameters:
  epochs:
    min: 3
    max: 15
  learning_rate:
    min: 0.0001
    max: 0.1
  optimizer:
    values: ["adam", "adadelta", "nadam"]
  num_filters:
    min: 2
    max: 100
  base_kernel_size:
    min: 2
    max: 4
  dropout_rate:
    min: 0.1
    max: 0.3
  loss_function:
    values: ["binary_crossentropy"]