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Implement strategy to deal with samples containing "no data" values #26

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rvmaretto opened this issue Jun 21, 2018 · 1 comment
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Implement strategy to deal with samples containing "no data" values #26

rvmaretto opened this issue Jun 21, 2018 · 1 comment
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Verify if samples containing "no data" values can confuse the network. If positive, implement an strategy to avoid patches containig "no data" values.
@rvmaretto rvmaretto added enhancement New feature or request question Further information is requested Important Important, but not urgent. labels Jun 21, 2018
@rvmaretto rvmaretto self-assigned this Jun 21, 2018
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Maybe Numpy Masked arrays can solve this problem

rvmaretto pushed a commit that referenced this issue Aug 3, 2018
Improvements for #26, #25, #24 and #22.
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@rvmaretto rvmaretto removed enhancement New feature or request Important Important, but not urgent. labels Apr 9, 2019
rvmaretto added a commit that referenced this issue Apr 18, 2019
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Refactoring for #33 and #26
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