'How can I explicitly give weight to data points within one sample in python ML packages like SKLearn/KerasS? (not weight sampling: that is per sample)
I have a dataset where for every timestep I have one sample , which is a 2d 'map' of a field, filled with data points with x,y coordinates. Now some of those datapoints are measured more recently than others, hence I want to give more weight to those data points.
Weight sampling allows me to give weights to samples, but I would like to give weights to datapoints within the sample. Is there a way to explicitly do so with e.g. SKLearn/Keras?
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