Uses of Class
adams.data.timeseries.AbstractTimeseriesFeatureGenerator

Packages that use AbstractTimeseriesFeatureGenerator

Package	Description
adams.data.timeseries
adams.flow.transformer

Uses of AbstractTimeseriesFeatureGenerator in adams.data.timeseries

Subclasses of AbstractTimeseriesFeatureGenerator in adams.data.timeseries

Modifier and Type	Class	Description
class	AbstractMetaTimeseriesFeatureGenerator	Ancestor for generators that use a base generator.
class	AddMetaData	Meta-generator that can add database ID and container ID.
class	FixedNumFeatures	Meta-feature-generator that ensures that the generated output has a fixed number of data points. In case of filler type FIRST, the data gets inserted at the start, as opposed to at the end when using LAST. NUMERIC/STRING/BOOLEAN use the appropriate filler value that the user specified. The MISSING_* types just add a missing value of the appropriate data type.
class	Values	Simple feature generator that just outputs all the values of a timeseries.

Fields in adams.data.timeseries declared as AbstractTimeseriesFeatureGenerator

Modifier and Type	Field	Description
protected AbstractTimeseriesFeatureGenerator	AbstractMetaTimeseriesFeatureGenerator.m_Generator	the base generator.

Methods in adams.data.timeseries that return AbstractTimeseriesFeatureGenerator

Modifier and Type	Method	Description
protected abstract AbstractTimeseriesFeatureGenerator	AbstractMetaTimeseriesFeatureGenerator.getDefaultGenerator()	Returns the default generator to use.
protected AbstractTimeseriesFeatureGenerator	AddMetaData.getDefaultGenerator()	Returns the default generator to use.
protected AbstractTimeseriesFeatureGenerator	FixedNumFeatures.getDefaultGenerator()	Returns the default converter to use.
AbstractTimeseriesFeatureGenerator	AbstractMetaTimeseriesFeatureGenerator.getGenerator()	Returns the base feature generator in use.
AbstractTimeseriesFeatureGenerator	AbstractTimeseriesFeatureGenerator.shallowCopy()	Returns a shallow copy of itself, i.e., based on the commandline options.
AbstractTimeseriesFeatureGenerator	AbstractTimeseriesFeatureGenerator.shallowCopy(boolean expand)	Returns a shallow copy of itself, i.e., based on the commandline options.

Methods in adams.data.timeseries with parameters of type AbstractTimeseriesFeatureGenerator

Modifier and Type	Method	Description
void	AbstractMetaTimeseriesFeatureGenerator.setGenerator(AbstractTimeseriesFeatureGenerator value)	Sets the base feature generator to use.

Uses of AbstractTimeseriesFeatureGenerator in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractTimeseriesFeatureGenerator

Modifier and Type	Field	Description
protected AbstractTimeseriesFeatureGenerator	TimeseriesFeatureGenerator.m_ActualAlgorithm	the actual algorithm to apply to the image.
protected AbstractTimeseriesFeatureGenerator	TimeseriesFeatureGenerator.m_Algorithm	the feature generator to use.

Methods in adams.flow.transformer that return AbstractTimeseriesFeatureGenerator

Modifier and Type	Method	Description
AbstractTimeseriesFeatureGenerator	TimeseriesFeatureGenerator.getAlgorithm()	Returns the algorithm in use.

Methods in adams.flow.transformer with parameters of type AbstractTimeseriesFeatureGenerator

Modifier and Type	Method	Description
void	TimeseriesFeatureGenerator.setAlgorithm(AbstractTimeseriesFeatureGenerator value)	Sets the algorithm to use.