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LIME timeseries interface is not complete yet. The output returns zeroes and the explain_timeseries function is inconsistent with RISE. This is why the bars look gray. -> Fixed by 560 improve results of lime timeseries notebooks #589
Should explain_timeseries return (normalized) segments?
What will the data format for timeseries look like? For now I just load a .npy file with a single column of y values. I can imagine this should be some pandas data frame or numpy array with xy data instead.
See lime (and rise) notebooks in tutorials
https://github.com/dianna-ai/dianna/blob/main/tutorials/rise_timeseries_weather.ipynb
https://github.com/dianna-ai/dianna/blob/main/tutorials/lime_timeseries_weather.ipynb
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