can it be used for tabular data ?

[Sandy4321]

can it be used for tabular data ?

like
https://towardsdatascience.com/deep-quantile-regression-in-tensorflow-1dbc792fe597

[FloList]

Hi Sandy,
This Github repo is specifically for the task of histogram-valued regression (so the label belonging to each input should be an entire histogram), and a neural network trained with the Earth Mover's Pinball Loss will estimate the quantiles of the cumulative histogram belonging to each input. If you're looking for a loss function to do quantile regression for scalar labels as in the blog post you mentioned, you can directly take the pinball loss (or quantile loss), for example here:
https://github.com/strongio/quantile-regression-tensorflow/blob/master/Quantile%20Loss.ipynb.
Also, the pinball loss function is available as a Tensorflow Add-on.
Cheers,
Florian

[Sandy4321]

thanks for answer
for
Also, the pinball loss function is available as a Tensorflow Add-on.
is written

Warning: This project is deprecated. TensorFlow Addons has stopped development, The project will only be providing minimal maintenance releases until May 2024. See the full announcement here or on github.

[Sandy4321]

it is questionabe if
https://github.com/strongio/quantile-regression-tensorflow/blob/master/Quantile%20Loss.ipynb

will work for new TF versions