hybrid bayesian network
=======================

This is an example input file for a "hybrid" Bayesian network, i.e., one with varying types of conditional probability distributions. It provides hybrid CPD data for the same graph skeleton as in the :doc:`discrete case <unittestdict>`::

    {
        "Vdata": {
            "Grade": {
                "parents": [
                    "Difficulty", 
                    "Intelligence"
                ], 
                "type": "lgandd", 
                "children": [
                    "Letter"
                ], 
                "hybcprob": {
                    "['high']": {
                        "variance": 10, 
                        "mean_base": 20, 
                        "mean_scal": [
                            1
                        ]
                    }, 
                    "['low']": {
                        "variance": 10, 
                        "mean_base": 10, 
                        "mean_scal": [
                            1
                        ]
                    }
                }
            }, 
            "Intelligence": {
                "numoutcomes": 2, 
                "cprob": [
                    0.9, 
                    0.1
                ], 
                "parents": null, 
                "vals": [
                    "low", 
                    "high"
                ], 
                "type": "discrete", 
                "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": {
                "parents": [
                    "Intelligence"
                ], 
                "crazyinput": 7, 
                "type": "crazy"
            }
        }
    }