  We experimentally validate a machine learning-enabled Raman amplification
framework, capable of jointly shaping the signal power evolution in two
domains: frequency and fiber distance. The proposed experiment addresses the
amplification in the whole C-band, by optimizing four first-order
counter-propagating Raman pumps.
