Package adams.data.outlier
Class TimeseriesMinPoints
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.data.outlier.AbstractOutlierDetector<Timeseries>
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- adams.data.outlier.TimeseriesMinPoints
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- All Implemented Interfaces:
CleanUpHandler
,Destroyable
,GlobalInfoSupporter
,LoggingLevelHandler
,LoggingSupporter
,OptionHandler
,QuickInfoSupporter
,ShallowCopySupporter<OutlierDetector>
,SizeOfHandler
,OutlierDetector<Timeseries>
,Serializable
,Comparable
public class TimeseriesMinPoints extends AbstractOutlierDetector<Timeseries>
Ensures that a minimum number of points in the timeseries have the specified minimum value.
Valid options are:
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
-num-points <double> (property: numPoints) The minimum number of points that must have at least the minimum value; if less than 1 it is interpreted as percentage, otherwise as an absolute number. default: 0.5 minimum: 0.0
-min-value <double> (property: minValue) The minimum value that the data points must satisfy. default: 0.0
- Version:
- $Revision$
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class adams.data.outlier.AbstractOutlierDetector
AbstractOutlierDetector.DetectorJob<T extends DataContainer>
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Field Summary
Fields Modifier and Type Field Description protected double
m_MinValue
the minimum value.protected double
m_NumPoints
the number of points that need the minimum value (below 1 it is interpreted as percentage).-
Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description TimeseriesMinPoints()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description void
defineOptions()
Adds options to the internal list of options.double
getMinValue()
Returns the currently set minimum.double
getNumPoints()
Returns the currently set minimum number of points.String
globalInfo()
Returns a string describing the object.String
minValueTipText()
Returns the tip text for this property.String
numPointsTipText()
Returns the tip text for this property.protected List<String>
processData(Timeseries data)
Performs the actual detection.void
setMinValue(double value)
Sets the minimum value.void
setNumPoints(double value)
Sets the minimum number of points.-
Methods inherited from class adams.data.outlier.AbstractOutlierDetector
checkData, cleanUp, compareTo, destroy, detect, equals, forCommandLine, forName, getOutlierDetectors, getQuickInfo, reset, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Methods inherited from interface adams.core.option.OptionHandler
cleanUpOptions, getOptionManager, toCommandLine
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceGlobalInfoSupporter
- Specified by:
globalInfo
in classAbstractOptionHandler
- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptions
in interfaceOptionHandler
- Overrides:
defineOptions
in classAbstractOptionHandler
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setNumPoints
public void setNumPoints(double value)
Sets the minimum number of points.- Parameters:
value
- the number of points
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getNumPoints
public double getNumPoints()
Returns the currently set minimum number of points.- Returns:
- the minimum number of points
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numPointsTipText
public String numPointsTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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setMinValue
public void setMinValue(double value)
Sets the minimum value.- Parameters:
value
- the minimum
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getMinValue
public double getMinValue()
Returns the currently set minimum.- Returns:
- the minimum
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minValueTipText
public String minValueTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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processData
protected List<String> processData(Timeseries data)
Performs the actual detection.- Specified by:
processData
in classAbstractOutlierDetector<Timeseries>
- Parameters:
data
- the data to process- Returns:
- the detections
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