Hi,
I have read the codes on "supervised machine learning" (https://rasterframes.io/supervised-learning.html), found out that 'B01.tif', 'B02.tif', 'B03.tif', 'B04.tif', 'B05.tif', 'B06.tif', 'B07.tif', 'B08.tif', 'B09.tif', 'B11.tif', 'B12.tif' and "SCL.tif" has been read into from the beginning. However, I am confused about how many ".tif" image have been recognised as "training set", also how many of them are "testing set"?
Whether the division happened on "model = pipeline.fit(model_input)"? So, could you pls help to give me some suggestions? Thanks!
Hi, I have read the codes on "supervised machine learning" (https://rasterframes.io/supervised-learning.html), found out that 'B01.tif', 'B02.tif', 'B03.tif', 'B04.tif', 'B05.tif', 'B06.tif', 'B07.tif', 'B08.tif', 'B09.tif', 'B11.tif', 'B12.tif' and "SCL.tif" has been read into from the beginning. However, I am confused about how many ".tif" image have been recognised as "training set", also how many of them are "testing set"?
