|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||
| Packages that use AbstractFeatureGenerator | |
|---|---|
| adams.data.featuregenerator | |
| adams.data.filter | |
| Uses of AbstractFeatureGenerator in adams.data.featuregenerator |
|---|
| Subclasses of AbstractFeatureGenerator in adams.data.featuregenerator | |
|---|---|
class |
AbstractDatabaseConnectionFeatureGenerator
Ancestor for feature generators that require database access. |
class |
FilteredFeatureGenerator
This feature generator first pushes the data through the provided data filter before applying the actual feature generator. |
class |
Max
Outputs the largest intensity value in the heatmap as feature. |
class |
Mean
Outputs the mean of the intensity values in the heatmap as feature. |
class |
Median
Outputs the median of the intensity values in the heatmap as feature. |
class |
Min
Outputs the smallest intensity value in the heatmap as feature. |
class |
MultiGenerator
A meta-generator that applies multiple feature generators to the data. |
class |
PassThrough
A dummy generator that just passes the data through. |
| Fields in adams.data.featuregenerator declared as AbstractFeatureGenerator | |
|---|---|
protected AbstractFeatureGenerator |
FilteredFeatureGenerator.m_Generator
the actual feature generator. |
protected AbstractFeatureGenerator[] |
MultiGenerator.m_Generators
the generators. |
| Methods in adams.data.featuregenerator that return AbstractFeatureGenerator | |
|---|---|
static AbstractFeatureGenerator |
AbstractFeatureGenerator.forCommandLine(String cmdline)
Instantiates the generator from the given commandline (i.e., classname and optional options). |
static AbstractFeatureGenerator |
AbstractFeatureGenerator.forName(String classname,
String[] options)
Instantiates the generator with the given options. |
AbstractFeatureGenerator |
FilteredFeatureGenerator.getGenerator()
Returns the generator. |
AbstractFeatureGenerator[] |
MultiGenerator.getSubGenerators()
Returns the generators in use. |
AbstractFeatureGenerator |
AbstractFeatureGenerator.shallowCopy()
Returns a shallow copy of itself, i.e., based on the commandline options. |
AbstractFeatureGenerator |
AbstractFeatureGenerator.shallowCopy(boolean expand)
Returns a shallow copy of itself, i.e., based on the commandline options. |
| Methods in adams.data.featuregenerator with parameters of type AbstractFeatureGenerator | |
|---|---|
void |
FilteredFeatureGenerator.setGenerator(AbstractFeatureGenerator value)
Sets the generator. |
void |
MultiGenerator.setSubGenerators(AbstractFeatureGenerator[] value)
Sets the generators to use. |
| Uses of AbstractFeatureGenerator in adams.data.filter |
|---|
| Fields in adams.data.filter declared as AbstractFeatureGenerator | |
|---|---|
protected AbstractFeatureGenerator |
FeatureGenerator.m_Generator
the report filter. |
| Methods in adams.data.filter that return AbstractFeatureGenerator | |
|---|---|
AbstractFeatureGenerator |
FeatureGenerator.getGenerator()
Returns the current generator. |
| Methods in adams.data.filter with parameters of type AbstractFeatureGenerator | |
|---|---|
void |
FeatureGenerator.setGenerator(AbstractFeatureGenerator value)
Sets the generator to use. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES | |||||||||