在运行从github下载的代码，出现了以下问题

以下是出问题的代码

from osgeo import gdal
from DownscaleSatelliteLST import DownscaledLST

# Raster filenames
lst_fname = "LSALST_20180819_Athens_15min.tif"
predictors_fname = "LST_predictors_100m.tif"


def main():

    # Read the raster data as gdal datasets
    Seviri_LST = gdal.Open(lst_fname)
    predictors_100m = gdal.Open(predictors_fname)

    # Make an instance of the downscaling class
    data = DownscaledLST(
            LST=Seviri_LST,
            predictors=predictors_100m,
            LST_noDataVal=-80,
            predictors_noDataVal=-1000,
            workdir="./Results",
        )

    # Change the number of parallel jobs to 4
    data.SetNumberOfJobs(4)

    # Set the R2 threshold for discarding
    # poorly-performing regression models.
    data.SetR2Threshold(0.5)

    # Apply the Downscaling
    data.ApplyDownscaling(residual_corr=True)

    # Save the dowscaled data as a geotiff file
    data.SaveDLSTasGeotiff(savename="downscaled_LST.tif")
    
    # Save the regression metrics in a txt file
    data.GenerateReport()

    # Get the indices of the non-discarded downscaled data
    print("LST bands that have been downscaled:")
    print(data.GetDLSTBandIndices(indexing_from_1=False))

if __name__ == "__main__":
    main()

然后出现了这样的报错

Traceback (most recent call last):

  File "C:\Users\example\example_using_SEVIRI_data.py", line 45, in <module>
    main()

  File "C:\Users\example\example_using_SEVIRI_data.py", line 32, in main
    data.ApplyDownscaling(residual_corr=True)

  File "C:\Users\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

请求各位帮帮忙