input_features:
    -
        name: temperature_feature
        type: timeseries
        encoder: rnn
        embedding_size: 32
        state_size: 32

output_features:
    -
        name: temperature
        type: numerical

training:
    epochs: 1

hyperopt:
    search_alg: 
        type: random
    executor:
        type: ray
        num_samples: 2
    parameters:
        training.learning_rate:
            space: uniform
            lower: 0.0001
            upper: 0.1
    split: validation
