niftynet.contrib.regression_weighted_sampler.isample_regression module

class ISampleRegression(net_param, action_param, action)[source]

Bases: niftynet.application.regression_application.RegressionApplication

initialise_dataset_loader(data_param=None, task_param=None, data_partitioner=None)[source]

this function initialise self.readers

Parameters:
  • data_param – input modality specifications
  • task_param – contains task keywords for grouping data_param
  • data_partitioner – specifies train/valid/infer splitting if needed
Returns:
connect_data_and_network(outputs_collector=None, gradients_collector=None)[source]

Adding sampler output tensor and network tensors to the graph.

Parameters:
  • outputs_collector –
  • gradients_collector –
Returns: