public class TimeSeriesConfiguration
extends java.lang.Object
Modifier and Type | Class and Description |
---|---|
static class |
TimeSeriesConfiguration.AvailableScripts |
static class |
TimeSeriesConfiguration.MissingDataHandling
Different strategies to try for handling missing data (replacement almost always introduces a bias (mean replacement underestimates the variance)
It might be better to keep them as missing values and let R figure out how to deal with them...
|
static class |
TimeSeriesConfiguration.TimeSeriesType |
Constructor and Description |
---|
TimeSeriesConfiguration() |
Modifier and Type | Method and Description |
---|---|
TimeSeries<java.lang.Double> |
createNewTimeSeries(TimedTransition timedT) |
long |
getIndexForTime(long time) |
TimeSeriesConfiguration.MissingDataHandling |
getMissingDataHandling() |
java.util.List<TimeSeriesConfiguration.AvailableScripts> |
getScriptsToLoad() |
TimeSeriesConfiguration.TimeSeriesType |
getTimeseriesType() |
void |
setAggregation(java.util.Calendar aggregation) |
void |
setLag(java.util.Calendar lag) |
void |
setMissingDataHandling(TimeSeriesConfiguration.MissingDataHandling missingDataHandling) |
void |
setScriptsToLoad(java.util.List<TimeSeriesConfiguration.AvailableScripts> scripts) |
void |
setTimeSeriesType(TimeSeriesConfiguration.TimeSeriesType type) |
public void setTimeSeriesType(TimeSeriesConfiguration.TimeSeriesType type)
public TimeSeriesConfiguration.MissingDataHandling getMissingDataHandling()
public void setMissingDataHandling(TimeSeriesConfiguration.MissingDataHandling missingDataHandling)
public java.util.List<TimeSeriesConfiguration.AvailableScripts> getScriptsToLoad()
public void setScriptsToLoad(java.util.List<TimeSeriesConfiguration.AvailableScripts> scripts)
public long getIndexForTime(long time)
public void setLag(java.util.Calendar lag)
public void setAggregation(java.util.Calendar aggregation)
public TimeSeries<java.lang.Double> createNewTimeSeries(TimedTransition timedT)
public TimeSeriesConfiguration.TimeSeriesType getTimeseriesType()