google / seq2seq

A general-purpose encoder-decoder framework for Tensorflow

Home Page:https://google.github.io/seq2seq/

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regarding leveraging seq2seq to pure numerical string mapping

wenouyang opened this issue · comments

If the problem is pure sequence to sequence mapping, where each sequence consists of multiple numerical values/floating number. Can this platform be used to solve the problem.

For instance, one training pair sample is like x = [0.001, -0.11, 200.001], and y =[0.00, 0.123, 0.00]. Physically, y can be considered as a functional mapping of x, but y does not have a time dependence relationship as x. This is different with the data set that you are using.

The test case will be also a string like test = [-200, 0.0023, -120], and we would like to get the mapping string of this “test” string. In other words, the use case is more like pure sequence-to-sequence mapping without time factor. Can this code be used to solve this kind of use case?