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Prioritize transformers for implementation or interfacing #17
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basically take the DFT and square the terms. Issues here are whether to use FFT and padding zeros (O(mlogm, but padding may skew things, especially if the data is not normalised) or use the exact DFT (O(m^2)). Only keep have of the terms, second half of power spectrum is a duplicate of the first |
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For available Python implementation, see #6 |
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for supporting #6.
Triaging based on favourite list.
To be put against existing implementations of transformers in tslearn, tsfresh, pyts, numpy.
Make decision of implement/interface/leave it (with priority perhaps).
To add a time estimate for implement/interface.
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