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https://issues.apache.org/jira/browse/MATH-1278?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gilles resolved MATH-1278.
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Resolution: Implemented
Commits:
f13693fdc3cd00c6acbcd51672076e38a333778c (3.6)
6c4e1d719fec98f04f0d80d2ff79dbfc2861bfaf (4.0)
> Deep copy of "Network" ("o.a.c.m.ml.neuralnet")
> -----------------------------------------------
>
> Key: MATH-1278
> URL: https://issues.apache.org/jira/browse/MATH-1278
> Project: Commons Math
> Issue Type: Wish
> Reporter: Gilles
> Assignee: Gilles
> Priority: Minor
> Labels: api-addition
> Fix For: 4.0, 3.6
>
> Attachments: MATH-1278.patch
>
>
> It might be useful to track the changes in a ANN during the learning process.
> Certain algorithms for assessing the state of a SOFM can take a long time if
> the training dataset in very large.
> If the state of the {{Network}} changes a lot (due to the continuing training
> process) during the evaluation computation, its output will not represent the
> state at some definite time.
> Stopping the training process during the whole evaluation would result in a
> waste of time.
> An alternative is to create a deep copy of the {{Network}} instance: the
> evaluation will be performed on the copy while the training can continue on
> the original instance.
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