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Warning 1: LSALST_20180819_Athens_15min.tif: TIFFReadDirectory:Sum of Photometric type-related color channels and ExtraSamples doesn't match SamplesPerPixel. Defining non-color channels as ExtraSamples.
Warning 1: TIFFReadDirectory:Sum of Photometric type-related color channels and ExtraSamples doesn't match SamplesPerPixel. Defining non-color channels as ExtraSamples.

Downscaling started at:   21/01/2022, 12:56

SETTINGS
========
Residual Correction:           True
R2-threshold:                  0.5
Missing pxls threshold:        40.0%
Train/test size split:         0.7/0.3
Parallel jobs:                 1
Hyperarameter tuning trials:   60

Building the regression models.
  Processing band 0:
Traceback (most recent call last):
  File "/home/pramit/Downloads/downscale-satelliteLST-1.1.0/example/example_using_SEVIRI_data.py", line 45, in <module>
    main()
  File "/home/pramit/Downloads/downscale-satelliteLST-1.1.0/example/example_using_SEVIRI_data.py", line 32, in main
    data.ApplyDownscaling(residual_corr=True)
  File "/home/pramit/Downloads/downscale-satelliteLST-1.1.0/example/DownscaleSatelliteLST.py", line 246, in ApplyDownscaling
    normal_transformer = QuantileTransformer(len(y)//2, "normal", random_state=self.SEED).fit(X)
TypeError: __init__() takes 1 positional argument but 3 positional arguments (and 1 keyword-only argument) were given

%Run example_using_SEVIRI_data.py

Downscaling started at:   01/02/2022, 15:52

SETTINGS
========
Residual Correction:           True
R2-threshold:                  0.0
Missing pxls threshold:        40.0%
Train/test size split:         0.7/0.3
Parallel jobs:                 1
Hyperarameter tuning trials:   60

Building the regression models.
  Processing band 0:
    Tuning the random forest hyperparameters...   Done [CV R2 score = 0.54]
    Tuning the ridge hyperparameters...           Done [CV R2 score = 0.48]
    Tuning the svr hyperparameters...             Done [CV R2 score = 0.35]
/home/pramit/.local/lib/python3.9/site-packages/sklearn/linear_model/_coordinate_descent.py:647: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.408e-02, tolerance: 1.181e-02
  model = cd_fast.enet_coordinate_descent(
    The R2 score of the ensemble model is: 0.56   PASS

Models that passed the checks: 1/1

Downscaling the corresponding LST bands...
Downscaling LST band 0:   [#########################] 100.00% 

Downscaling completed in: 222.5 sec
Writing to GeoTiff...     Done
Generating report...      Done
LST bands that have been downscaled:
[0]