О проекте

Balanced On-line Learning Toolkit is an open-source library that contains a set of on-line classifier interfaces and their implementations. On-line learning (also called data stream mining) is the task of learning from streaming data. It means that a classifier should be always able to classify some data, even if learning process has not been finished yet. Moreover, the time of single example handling should not significantly grow during the learning process. Some of toolbox classifiers can also efficiently learn from class-unbalanced streams.


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