de.julielab.jcore.ae.jsbd.postprocessingfilters

Class PostprocessingFilter

java.lang.Object

de.julielab.jcore.ae.jsbd.postprocessingfilters.PostprocessingFilter

public class PostprocessingFilter
extends Object

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PostprocessingFilter.Mode

Field Summary

Fields

Modifier and Type	Field and Description
static String	BIOMED_POSTPROC
static String	MEDICAL_POSTPROC
static java.util.stream.Stream<String>	POSTPROC_STREAM

Constructor Summary

Constructors

Constructor and Description
PostprocessingFilter()

Method Summary

Modifier and Type	Method and Description
static List<String>	biomedPostprocessingFilter(List<String> predLabels, List<Unit> units) a postprocessing filter (to be used after prediction) which can correct known errors
static List<String>	medicalPostprocessingFilter(List<String> predLabels, List<Unit> units) a postprocessing filter (to be used after prediction) which can correct known errors

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

BIOMED_POSTPROC

public static final String BIOMED_POSTPROC

See Also:

Constant Field Values

MEDICAL_POSTPROC

public static final String MEDICAL_POSTPROC

See Also:

Constant Field Values

POSTPROC_STREAM

public static final java.util.stream.Stream<String> POSTPROC_STREAM

Constructor Detail

PostprocessingFilter

public PostprocessingFilter()

Method Detail

medicalPostprocessingFilter

public static List<String> medicalPostprocessingFilter(List<String> predLabels,
                                                       List<Unit> units)

a postprocessing filter (to be used after prediction) which can correct known errors

Parameters:

predLabels -

units -

Returns:

biomedPostprocessingFilter

public static List<String> biomedPostprocessingFilter(List<String> predLabels,
                                                      List<Unit> units)

a postprocessing filter (to be used after prediction) which can correct known errors

Parameters:

predLabels -

units -

Returns: