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parallelML (version 1.1)
A Parallel-Voting Algorithm for many Classifiers
Description
By sampling your data, running the provided classifier on these samples in parallel on your own machine and letting your models vote on a prediction, we return much faster predictions than the regular machine learning algorithm and possibly even more accurate predictions.