__init__

UNet.__init__(input_features, quantiles, n_features=32, n_levels=4, skip_connection=None)

Parameters:

• input_features (int) – The number of channels of the input image.

• quantiles (np.array) – Array containing the quantiles to predict.

• n_features – The number of channels of the first convolution block.

• n_level – The number of down-sampling steps.

• skip_connection – Whether or not to include skip connections in each block.