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bayes_7.json
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bayes_7.json
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{
"name": "Pet Peeve",
"NodeList": [{
"name": "Cat in the Room",
"stateCount": 2,
"stateLabels": ["true", "false"],
"isInstantiated": false,
"isRootNode": true,
"CPT": {
"matrix": [
[1, 0],
[0, 1]
],
"rowCount": 2,
"columnCount": 2
},
"Posterior": {
"vector": [0.1, 0.9],
"size": 2
},
"LambdaEvidence": {
"vector": [1.0, 1.0],
"size": 2
},
"PiEvidence": {
"vector": [0.1, 0.9],
"size": 2
}
},
{
"name": "Dog in the Room",
"stateCount": 2,
"stateLabels": ["true", "false"],
"isInstantiated": false,
"isRootNode": true,
"CPT": {
"matrix": [
[1, 0],
[0, 1]
],
"rowCount": 2,
"columnCount": 2
},
"Posterior": {
"vector": [0.1, 0.9],
"size": 2
},
"LambdaEvidence": {
"vector": [1.0, 1.0],
"size": 2
},
"PiEvidence": {
"vector": [0.1, 0.9],
"size": 2
}
},
{
"name": "Vase is broken",
"stateCount": 2,
"stateLabels": ["true", "false"],
"isInstantiated": false,
"isRootNode": false,
"CPT": {
"matrix": [
[0.9, 0.6, 0.75, 0],
[0.1, 0.4, 0.25, 1]
],
"rowCount": 2,
"columnCount": 4
},
"Posterior": {
"vector": [1.0, 1.0],
"size": 2
},
"LambdaEvidence": {
"vector": [1.0, 1.0],
"size": 2
},
"PiEvidence": {
"vector": [1.0, 1.0],
"size": 2
}
}
],
"LinkList": [{
"endpointnames": ["Cat in the Room", "Vase is broken"]
},
{
"endpointnames": ["Dog in the Room", "Vase is broken"]
}
]
}