ramidst: An Interface to the AMIDST Toolbox for Data Stream Processing

Offers a link to some of the functionality of the AMIDST toolbox <http://www.amidsttoolbox.com> for handling data streams. More precisely, the package provides inference and concept drift detection using hybrid Bayesian networks.

Install the latest version of this package by entering the following in R:
AuthorAntonio Salmeron, Dario Ramos-Lopez, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen, Andres Masegosa, Ana M. Martinez, Rafael Cabanas
Date of publication2016-10-21 14:09:43
MaintainerAntonio Salmeron <antonio.salmeron@ual.es>
LicenseApache License 2.0

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amidst_data_stream Man page
amidst_ds_iterator Man page
dbn_generator Man page
dynamic_importance_sampling Man page
generate_stream_from_dbn Man page
generate_stream_of_sequences Man page
importance_sampling_from_stream Man page
load_amidst_bn Man page
load_dynamic_amidst_bn Man page
load_dynamic_sequence Man page
map_inference_from_stream Man page
mpe_inference_from_stream Man page
nb_concept_drift_detector_from_stream Man page
print_amidst_bn Man page
ramidst Man page
ramidst-package Man page
save_dynamic_amidst_bn Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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