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

Runs MPE inference from an AMIDST data stream

Usage

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

Arguments

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

Value

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

Note

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

References

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.

Examples

## 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)

ramidst documentation built on May 30, 2017, 5:27 a.m.