def __init__(self, optimizer, *args):
"""The processing worker for model fitting.
Use this if you want to use the model processing strategy to do model fitting.
Args:
optimizer: the optimization routine to use
"""
super(FittingProcessingWorker, self).__init__(*args)
self._optimizer = optimizer
self._write_volumes_gzipped = gzip_optimization_results()
def __init__(self, optimizer, model, mask, nifti_header, output_dir,
tmp_storage_dir, recalculate):
"""The processing worker for model fitting.
Use this if you want to use the model processing strategy to do model fitting.
Args:
optimizer: the optimization routine to use
"""
super(FittingProcessor, self).__init__(mask, nifti_header, output_dir,
tmp_storage_dir, recalculate)
self._model = model
self._optimizer = optimizer
self._write_volumes_gzipped = gzip_optimization_results()
self._subdirs = set()
def __init__(self, method, model, mask, nifti_header, output_dir, tmp_storage_dir, recalculate,
optimizer_options=None):
"""The processing worker for model fitting.
Use this if you want to use the model processing strategy to do model fitting.
Args:
method: the optimization routine to use
"""
super().__init__(mask, nifti_header, output_dir, tmp_storage_dir, recalculate)
self._model = model
self._method = method
self._optimizer_options = optimizer_options
self._write_volumes_gzipped = gzip_optimization_results()
self._subdirs = set()
self._logger=logging.getLogger(__name__)
def __init__(self,
method,
model,
mask,
nifti_header,
output_dir,
tmp_storage_dir,
recalculate,
optimizer_options=None):
"""The processing worker for model fitting.
Use this if you want to use the model processing strategy to do model fitting.
Args:
method: the optimization routine to use
"""
super().__init__(mask, nifti_header, output_dir, tmp_storage_dir,
recalculate)
self._model = model
self._method = method
self._optimizer_options = optimizer_options
self._write_volumes_gzipped = gzip_optimization_results()
self._subdirs = set()
self._logger = logging.getLogger(__name__)
self._cl_runtime_info = CLRuntimeInfo()
self._codec = self._model.get_mle_codec()
self._initial_params = self._model.get_initial_parameters()
self._wrapper = ParameterDecodingWrapper(
self._model.get_nmr_parameters(),
self._codec.get_decode_function())
self._kernel_data = self._model.get_kernel_data()
self._lower_bounds, self._upper_bounds = self._codec.encode_bounds(
self._model.get_lower_bounds(), self._model.get_upper_bounds())
self._objective_func = self._wrapper.wrap_objective_function(
self._model.get_objective_function())
self._constraints_func = self._wrapper.wrap_constraints_function(
self._model.get_constraints_function())