pottok.RasterOptimalTransport¶
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class
pottok.
RasterOptimalTransport
(transport_function=<class 'ot.da.MappingTransport'>, params=None, verbose=True)[source]¶ Initialize Python Optimal Transport for raster processing.
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__init__
(transport_function=<class 'ot.da.MappingTransport'>, params=None, verbose=True)[source]¶ Initialize Python Optimal Transport for raster processing.
Methods
__init__
([transport_function, params, verbose])Initialize Python Optimal Transport for raster processing.
assess_transport
(Xs_transform[, record, path])OA comparison before and after OT
assess_transport_circular
(Xs_transform[, …])OA comparison before and after OT
fit_circular
([metrics, greater_is_better])Learn domain adaptation model with circular tuning (fitting).
fit_crossed
([cv_ai, cv_ot, classifier, …])Learn domain adaptation model with crossed tuning (fitting).
load_model
(path)Load model previously saved with SuperLearner.save_model(path).
predict_transfer
(data)Predict model using domain adaptation.
preprocessing
([image_source, image_target, …])Scale all image (if it is asked) and stock the input parameters in the object .
save_model
(path)Save model ‘myModel.npz’ to be loaded later via SuperLearner.load_model(path)
valid_fit_crossed
(Xs_transform)OA comparison before and after OT with Xt_test
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