domain.yaml

---
train_n_vars: [5, 10]
test_n_vars: [20]
test_n_datasets: 10
additional_modules:
  - "./func.py"
data:
  - n_observations_obs: 300
    n_observations_int: 100

    graph:
      - __class__: RandomTree

    mechanism:
      - __class__: SinusoidalAdditive

        weight:
          - __class__: SignedUniform
            low: 1.0
            high: 3.0

        scale:
          - __class__: SignedUniform
            low: 1.0
            high: 3.0

        bias:
          - __class__: Uniform
            low: -3.0
            high: 3.0

        noise:
          - __class__: Gaussian

        noise_scale:
          - __class__: Uniform
            low: 0.2
            high: 1.0

        n_interv_vars: -1
        interv_dist:
          - __class__: SignedUniform
            low:  1.0
            high: 3.0