Class ParamKoopmanDLSolver

The class ParaKoopmanDLSolver implements the algorithm of learning parametric Koopman decomposition.

Attributes¶

• _dictionary (TrainableDictionary)

Methods¶

• __init__(self, dictionary)
• solve(self, dataset, paramkoopman, n_epochs, batch_size, tol, lr_dic, lr_koop):
  • dataset (ParamODEDataSet): The dataset to solve.
  • paramkoopman (ParamKoopman): The initial parametric Koopman operator.
  • n_epochs (int): The number of epochs.
  • batch_size (int): The batch size.
  • tol (float): The tolerance for early stopping.
  • lr_dic (float): The learning rate for the dictionary.
  • lr_koop (float): The learning rate for the Koopman operator.
  • Returns (ParamKoopman): The trained parametric Koopman operator.