ogreyesp/JCLAL
JCLAL is a general purpose framework developed in Java for Active Learning.
When you need to build machine learning models but have limited labeled data, this tool helps you efficiently select the most informative data points for human annotation. You provide an initial small set of labeled data and a larger pool of unlabeled data, and it helps you progressively label data to improve your model, outputting updated labeled datasets and performance reports. This is for machine learning researchers or data scientists focused on active learning strategies.
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Use this if you are exploring or implementing active learning techniques to reduce the manual effort of labeling large datasets for classification tasks.
Not ideal if you need a graphical interface for configuring experiments or prefer to use an active learning solution fully integrated within the WEKA Explorer.
Stars
23
Forks
10
Language
Java
License
GPL-3.0
Category
Last pushed
Jul 24, 2017
Commits (30d)
0
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