Comments (1)
@lorenzori I changed the standardization (dividing by std) of the features to a max normalization (dividing by the max) to fix the problem of outliers in the features. The impact on R2 in Mali was minimum but this does not solve the problem of applying a different re-scaling between the evaluation and the scoring set.
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Related Issues (16)
- master_utils depreicated HOT 1
- Fix NNExtractor and RasterGrid class interdependency HOT 2
- Fix bad zip file issue with GEE API
- ZCA not PCA
- Comment squaretojson funtion HOT 2
- detect Google's bad images
- NNExtractor scores all images in the folder HOT 3
- Sentinel Module: unzip to memory-file
- use multiproc for downloading images
- parallelization overhead too long HOT 2
- use S3 for storing images across deployments
- bad images detector
- call predict() on batches of images HOT 1
- non linear regressor HOT 1
- functions descriptions for Sentinel module
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