2e09730ac9259bc778a96921adf3427966262e98,examples/chainer_mnist.py,,create_model,#Any#,39

Before Change

def create_model(trial):
    // We optimize the numbers of layers and their units.
    n_layers = int(trial.suggest_uniform("n_layers", 1, 4))

    layers = []
    for i in range(n_layers):
        n_units = int(trial.suggest_loguniform("n_units_l{}".format(i), 4, 128))

After Change

def create_model(trial):
    // We optimize the numbers of layers and their units.
    n_layers = trial.suggest_int("n_layers", 1, 3)

    layers = []
    for i in range(n_layers):
        n_units = int(trial.suggest_loguniform("n_units_l{}".format(i), 4, 128))

Instances