generative-bayesian-network
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An implementation of a bayesian network usable for .
NodeJs package containing a bayesian network capable of randomly sampling from a distribution defined by a json file.
All public classes, methods and their parameters can be inspected in this API reference.
BayesianNetwork is an implementation of a bayesian network capable of randomly sampling from the distribution represented by the network.
new BayesianNetwork(networkDefinition)| Param | Type | Description |
|---|---|---|
| networkDefinition | object | object defining the network structure and distributions |
bayesianNetwork.generateSample(inputValues)Randomly samples from the distribution represented by the bayesian network. Can generate samples not found in the data used to create the definition file.
| Param | Type | Description |
|---|---|---|
| inputValues | object | node values that are known already |
bayesianNetwork.generateConsistentSampleWhenPossible(valuePossibilities)Randomly samples from the distribution represented by the bayesian network. Cannot generate samples not found in the data used to create the definition file, so it only generates samples when it is possible to be consistent with the data.
| Param | Type | Description |
|---|---|---|
| valuePossibilities | object | a dictionary of lists of possible values for nodes (if a node isn't present in the dictionary, all values are possible) |
FAQs
An fast implementation of a generative bayesian network.
The npm package generative-bayesian-network receives a total of 54,049 weekly downloads. As such, generative-bayesian-network popularity was classified as popular.
We found that generative-bayesian-network demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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