コード例 #1
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 def _list_outputs(self):
     outputs = self.output_spec().get()
     if isdefined(self.inputs.output_directory):
         outputs['output_directory'] = Directory(exists=False, value=self.inputs.output_directory)
     else:
         outputs['output_directory'] = Directory(exists=False, value='accuracy_test')
     return outputs
コード例 #2
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class AccuracyTesterInputSpec(CommandLineInputSpec):
    mel_icas = InputMultiPath(Directory(exists=True), copyfile=False,
                              desc='Melodic output directories',
                              argstr='%s', position=3, mandatory=True)

    trained_wts_file = File(desc='trained-weights file', argstr='%s', position=1, mandatory=True)  

    output_directory = Directory(desc='Path to folder in which to store the results of the accuracy test.', argstr='%s', position=2, mandatory=True)  
コード例 #3
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class TrainingInputSpec(CommandLineInputSpec):
    mel_icas = InputMultiPath(Directory(exists=True), copyfile=False,
                              desc='Melodic output directories',
                              argstr='%s', position=-1)

    trained_wts_filestem = traits.Str(desc='trained-weights filestem, used for trained_wts_file and output directories', argstr='%s', position=1)  

    loo = traits.Bool(argstr='-l', desc='full leave-one-out test with classifier training', position=2)
コード例 #4
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class ClassifierInputSpec(CommandLineInputSpec):
    mel_ica = Directory(exists=True, copyfile=False, desc='Melodic output directory or directories',
                        argstr='%s', position=1)

    trained_wts_file = File(exists=True, desc='trained-weights file', argstr='%s', position=2, mandatory=True, copyfile=False)  

    thresh = traits.Int(argstr='%d', desc='Threshold for cleanup.', position=-1, mandatory=True)

    artifacts_list_file = File(desc='Text file listing which ICs are artifacts; can be the output from classification or can be created manually')
コード例 #5
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ファイル: fix.py プロジェクト: spam-depository/nipype
class TrainingSetCreatorOutputSpec(TraitedSpec):
    mel_icas_out = OutputMultiPath(Directory(exists=True),
                                   copyfile=False,
                                   desc='Hand labels for noise vs signal',
                                   argstr='%s',
                                   position=-1)
コード例 #6
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ファイル: fix.py プロジェクト: spam-depository/nipype
class TrainingSetCreatorInputSpec(BaseInterfaceInputSpec):
    mel_icas_in = InputMultiPath(Directory(exists=True),
                                 copyfile=False,
                                 desc='Melodic output directories',
                                 argstr='%s',
                                 position=-1)
コード例 #7
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ファイル: fix.py プロジェクト: spam-depository/nipype
class AccuracyTesterOutputSpec(TraitedSpec):
    output_directory = Directory(
        desc=
        'Path to folder in which to store the results of the accuracy test.',
        argstr='%s',
        position=1)
コード例 #8
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ファイル: fix.py プロジェクト: spam-depository/nipype
class FeatureExtractorOutputSpec(TraitedSpec):
    mel_ica = Directory(exists=True,
                        copyfile=False,
                        desc='Melodic output directory or directories',
                        argstr='%s',
                        position=-1)