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Open Items

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David Hill edited this page Oct 4, 2016 · 4 revisions

Open Items

  1. Data structure for change result (rmse + magnitude per band)

  2. Preprocess inputs [statistics, filtering, fmask/tmask]

  3. Handle variable selection (4,6 or 8 coefficients)

  4. Recalculate RMSE after each fit

  5. Verify that we are not inadvertently moving to native python data structures (like lists, tuples, etc) from numpy datatypes. Performance killer

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