linear gaussian bayesian network

This is an example input file for a Bayesian network with linear Gaussian conditional probability distributions. It provides linear Gaussian CPD data for the same graph skeleton as in the discrete case:

{
    "Vdata": {
        "Grade": {
            "mean_base": 80,
            "mean_scal": [
                -0.25,
                0.25
            ],
            "parents": [
                "Difficulty",
                "Intelligence"
            ],
            "variance": 5,
            "type": "lg",
            "children": [
                "Letter"
            ]
        },
        "Intelligence": {
            "mean_base": 50,
            "mean_scal": [],
            "parents": null,
            "variance": 18,
            "type": "lg",
            "children": [
                "SAT",
                "Grade"
            ]
        },
        "Difficulty": {
            "mean_base": 50,
            "mean_scal": [],
            "parents": null,
            "variance": 18,
            "type": "lg",
            "children": [
                "Grade"
            ]
        },
        "Letter": {
            "mean_base": -110,
            "mean_scal": [
                2
            ],
            "parents": [
                "Grade"
            ],
            "variance": 10,
            "type": "lg",
            "children": null
        },
        "SAT": {
            "mean_base": 10,
            "mean_scal": [
                1
            ],
            "parents": [
                "Intelligence"
            ],
            "variance": 10,
            "type": "lg",
            "children": null
        }
    }
}