mpe_inference_from_stream: Runs MPE inference from an AMIDST data stream
In ramidst: An Interface to the AMIDST Toolbox for Data Stream Processing

Description Usage Arguments Value Note References Examples

Runs MPE inference from an AMIDST data stream

1 2	mpe_inference_from_stream(network, evidence_variables, input_stream, parallel = T, seed = 3L)

`network`	a java object of class `BayesianNetwork` over which the computations will be carried out
`evidence_variables`	a vector with the names of the observed variables
`input_stream`	and AMIDST data stream
`parallel`	a `boolean` indicating whether or not the items in the sample will be generated in parallel (when allowed by the system)
`seed`	the seed for the genertion of random numbers

a data.frame with the MPE configuration for each item in the stream

The function computes the most probable explanation of the evidence in all the items in the input stream.

D. Ramos-Lopez, A. Salmeron, R. Rumi, A.M. Martinez, T.D. Nielsen, A.R. Masegosa, H. Langseth, A.L. Madsen (2016) Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. PGM'2016. JMLR: Workshop and Conference Proceedings, vol. 52: 415-425.

## Not run: 
network <- load_amidst_bn(system.file("extdata","WasteIncinerator.bn",
package="ramidst"))
sample_stream <- amidst_data_stream(system.file("extdata",
"WasteIncineratorSample.arff",package="ramidst"))
mpe_configurations <- mpe_inference_from_stream(network,c("E"),sample_stream)
mpe_configurations

## End(Not run)