Project Summary
The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. These algorithms are well documented, both in the source code as on the documentation site. Besides real machine learning algorithms also a lot of supporting classes are provided: distance measures, evaluation criteria, datasets for validation purposes and some sample code.
Currently the library contains clustering algorithms, distance measures, wavelet transforms, fourier transforms, matrices, support vector machines and some other algorithms
In a Nutshell, Java Machine Learning Library...
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took an estimated 5 years of effort (COCOMO model)
starting with its first commit in October, 2006
ending with its most recent commit about 11 years ago
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These details are provided for information only. No information here is legal advice and should not be used as such.
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30 Day SummaryApr 10 2024 — May 10 2024
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12 Month SummaryMay 10 2023 — May 10 2024
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