def __init__(self,
target,
prediction_parameterisation,
log=None,
verbosity=0,
track_step=False,
track_gradient=False,
track_parameter_correlation=False,
track_out_of_sample_rmsd=False,
max_iterations=None):
AdaptLstbxBase.__init__(
self,
target,
prediction_parameterisation,
log=log,
verbosity=verbosity,
track_step=track_step,
track_gradient=track_gradient,
track_parameter_correlation=track_parameter_correlation,
track_out_of_sample_rmsd=track_out_of_sample_rmsd,
max_iterations=max_iterations)
non_linear_ls_eigen_wrapper.__init__(self,
n_parameters=len(
self._parameters))
def __init__(self, target, prediction_parameterisation, log=None,
verbosity = 0, track_step = False, track_gradient = False,
track_parameter_correlation = False,
track_out_of_sample_rmsd = False, max_iterations = None):
AdaptLstbxBase.__init__(self, target, prediction_parameterisation,
log=log, verbosity=verbosity, track_step=track_step,
track_gradient=track_gradient,
track_parameter_correlation=track_parameter_correlation,
track_out_of_sample_rmsd=track_out_of_sample_rmsd,
max_iterations=max_iterations)
non_linear_ls_eigen_wrapper.__init__(self, n_parameters = len(self._parameters))
def __init__(self,
target,
prediction_parameterisation,
constraints_manager=None,
log=None,
verbosity=0,
tracking=None,
max_iterations=None):
AdaptLstbxBase.__init__(self,
target,
prediction_parameterisation,
constraints_manager=constraints_manager,
log=log,
verbosity=verbosity,
tracking=tracking,
max_iterations=max_iterations)
non_linear_ls_eigen_wrapper.__init__(self, n_parameters=len(self.x))