0_tuning.toml

seed = 0
program = "bin/train0.py"
n_trials = 100

[base_config]
seed = 0

[base_config.data]
T_cache = true
path = "data/california"

[base_config.data.T]
normalization = "quantile"

[base_config.training]
batch_size = 256

[space.model.mlp]
d_layers = [
    "$mlp_d_layers",
    1,
    8,
    16,
    1024,
]
dropout = [
    "?uniform",
    0.0,
    0.0,
    0.5,
]

[space.training]
lr = [
    "loguniform",
    5e-05,
    0.005,
]
weight_decay = [
    "?loguniform",
    0.0,
    1e-06,
    0.001,
]