tsdb.util.iterator

Class Interpolator

java.lang.Object

tsdb.util.iterator.Interpolator

public class Interpolator
extends java.lang.Object

GabFiller interpolates missing values (NaN-values) in time series with data of a set of other time series

Field Summary

Fields

Modifier and Type	Field and Description
static int	MAX_INTERPOLATED_IN_TRAINING_COUNT maximum count of previous interpolated values in target training values
static int	MIN_TRAINING_SOURCES minimum of different sources to interpolate from
static int	TRAINING_VALUE_COUNT count of values for training to fill one gap

Constructor Summary

Constructors

Constructor and Description
Interpolator()

Method Summary

Modifier and Type	Method and Description
static int	processLinear(TimeSeries[] interpolationTimeSeries, TimeSeries sourceTimeSeries, java.lang.String interpolationName)
static int	processMultiLinear(TimeSeries[] sourceTimeSeries, TimeSeries targetTimeSeries, java.lang.String interpolationName) Process gap filling of one target time series and one parameter.
static int	processOneValueGaps(TimeSeries timeSeries)

Methods inherited from class java.lang.Object

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

Field Detail

TRAINING_VALUE_COUNT

public static final int TRAINING_VALUE_COUNT

count of values for training to fill one gap

See Also:

Constant Field Values

MAX_INTERPOLATED_IN_TRAINING_COUNT

public static final int MAX_INTERPOLATED_IN_TRAINING_COUNT

maximum count of previous interpolated values in target training values

See Also:

Constant Field Values

MIN_TRAINING_SOURCES

public static final int MIN_TRAINING_SOURCES

minimum of different sources to interpolate from

See Also:

Constant Field Values

Constructor Detail

Interpolator

public Interpolator()

Method Detail

processMultiLinear

public static int processMultiLinear(TimeSeries[] sourceTimeSeries,
                                     TimeSeries targetTimeSeries,
                                     java.lang.String interpolationName)

Process gap filling of one target time series and one parameter. Some data in source time series is allowed to be left out.

Parameters:

sourceTimeSeries -

targetTimeSeries -

interpolationName - the sensor name that should be gap filled

processOneValueGaps

public static int processOneValueGaps(TimeSeries timeSeries)

processLinear

public static int processLinear(TimeSeries[] interpolationTimeSeries,
                                TimeSeries sourceTimeSeries,
                                java.lang.String interpolationName)