class_docstr: Classify ICA components using a specific training dataset (<thresh> is in the range 0-100, typically 5-20).
class_docstr_tok: ["Classify","ICA","components","using","a","specific","training","dataset","(","<","thresh",">","is","in","the","range","0-100",",","typically","5-20",")","."]
code: def _list_outputs(self):
      outputs = self.output_spec().get()
      outputs["artifacts_list_file"] = self._gen_artifacts_list_file(
          self.inputs.mel_ica, self.inputs.thresh
      )
  
      return outputs
  
imports: from ..base import TraitedSpec, CommandLineInputSpec, CommandLine, InputMultiPath, OutputMultiPath, BaseInterface, BaseInterfaceInputSpec, traits, Directory, File, isdefined
  import os
label_desc: Use image node_id 2 for calling the Classifier obj's underlying member method code with example usage: obj._list_outputs() and returns: outputs