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algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. WWW: http://www.cs.waikato.ac.nz/ml/weka/ PR: ports/108143 Submitted by: Simon Olofsson <simon at olofsson.de>
4 lines
180 B
Plaintext
4 lines
180 B
Plaintext
MD5 (weka-3-4-9.zip) = a720f833dc71bc03210737d34ef8203e
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SHA256 (weka-3-4-9.zip) = 93db295cdd8265be0a901738c9fead74cddbd0217a6cba258c37f77bac6ecb5e
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SIZE (weka-3-4-9.zip) = 10385909
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