TARNNResult.n_learner_parameters

property TARNNResult.n_learner_parameters: int

Weights and biases across both regime networks.

Example

>>> import numpy as np
>>> rng = np.random.default_rng(0)
>>> res = TARNN(rng.standard_normal(300), order=1).fit()
>>> res.n_learner_parameters == 2 * res.lower_predictor.n_parameters
True