__init__

QRNN.__init__(input_dimensions, quantiles=None, model=(3, 128, 'relu'), ensemble_size=1, **kwargs)

Create a QRNN model.

Parameters:

• input_dimensions (int) – The dimension of the measurement space, i.e. the number of elements in a single measurement vector y

• quantiles (np.array) – 1D-array containing the quantiles to estimate of the posterior distribution. Given as fractions within the range [0, 1].

• model – A (possibly trained) model instance or a tuple (d, w, act) describing the architecture of a fully-connected neural network with d hidden layers with w neurons and act activation functions.