About Visualization #18
Description
└─I have provided my Rrs__data.csv as following. At the end it gives me csv file having chla values. If I want to predict aph or other water constituents and visualize it then what will be the command or steps i need to follow?
$ python3 -m MDN --sensor HICO --plot_loss /home/phoenix/anaconda3/envs/MDN/lib/python3.9/site-packages/MDN/Rrs_data.csv
Generating estimates for 1331 data points ((1331, 54))
Input Rrs
Shape: (1331, 54)
N Valid: 1331
Minimum: [-20.81, -21.06, -22.10, -11.29, -8.22, -2.54, -5.29, -3.16, -9.94, -2.60, -2.62, -2.79, -1.53, -2.74, -1.83, -1.63, -1.29, -0.83, -0.69, -0.68, -0.63, -0.78, -0.78, -0.48, -0.35, -0.41, -0.55, -0.60, -0.61, -0.69, -0.30, -0.56, -0.33, -0.42, -0.29, -0.33, -0.39, -0.32, -0.31, -0.26, -0.35, -0.32, -0.30, -0.25, -0.19, -0.21, -0.21, -0.27, -0.28, -0.26, -0.18, -0.24, -0.20, -0.17]
Maximum: [136.21, 145.81, 25.79, 12.17, 13.88, 40.83, 10.26, 3.87, 22.40, 3.46, 2.89, 3.11, 2.26, 3.30, 7.02, 3.00, 1.58, 2.92, 1.49, 2.69, 2.16, 1.62, 1.40, 0.62, 0.85, 0.47, 0.70, 0.70, 0.61, 0.70, 0.35, 0.79, 0.60, 0.81, 0.61, 0.80, 0.64, 0.55, 0.47, 0.35, 0.39, 0.40, 0.54, 0.27, 0.39, 0.24, 0.29, 0.40, 0.36, 0.30, 0.34, 0.24, 0.52, 0.31]
100%|██████████████████████████████████| 10/10 [00:01<00:00, 5.67it/s]
MDN Estimates
Shape: (1331, 1)
N Valid: [1331]
Minimum: [ 0.00]
Maximum: [ 62.72]
Saving estimates at location "/home/phoenix/anaconda3/envs/MDN/lib/python3.9/site-packages/MDN/MDN_Rrs_data.csv"