Interface | Description |
---|---|
InputPluginListener | Deprecated
Use
PlugInListener |
NotSerialize |
This interface is implemented by all the input/output Synapses that
must not be serialized when the NeuralNet is exported.
|
OutputPluginListener | Deprecated
Use
PlugInListener |
PlugInListener |
This interface defines the methods needed to be implemented by listeners that
listens to plug-ins that might send data changed / plug-in events.
|
Class | Description |
---|---|
AbstractConverterPlugIn |
This abstract class must be extended to implement plug-ins for input or output
data pre- or post-processing.
|
CenterOnZeroPlugIn |
Center around the zero all the time series subtracting its average
Creation date: (23/10/2000 23.55.34)
|
CenterOnZeroPlugInBeanInfo | |
ColumnSelectorPlugIn |
Certain plug-ins change the number of columns during their conversion, for example
the
ToBinaryPlugin increases the number of columns. |
ConverterPlugIn |
This abstract class must be extended to implement plug-ins for input data
preprocessing.
|
ConverterPlugInBeanInfo | |
CSVParser |
Comma Separated Values Parser
This helper class parses a string containing comma separated tokens.
|
DeltaNormPlugIn |
This plugin calculates the Delta Normalization on a time series.
|
DeltaNormPlugInBeanInfo | |
DynamicAnnealing |
This plugin controls the change of the learning rate based on the difference
between the last two global error (E) values:
if E(t) > E(t-1) then LR = LR * (1 - step/100)
Note: step/100 because step is inserted as a % value from the user
if E(t) <= E(t-1) then LR is unchanged
|
DynamicAnnealingBeanInfo | |
GroovyMacroPlugin | |
InputPluginEvent | Deprecated
Use
PlugInEvent |
LearningSwitch |
This class is useful to switch the input data set of a neural network
from a training set to a validation set depending on the 'validation'
parameter contained in the Monitor object.
|
LearningSwitchBeanInfo | |
LinearAnnealing |
This plugin changes linearly the values of the learning rate and of the momentum parameters.
|
LogarithmicPlugIn |
logarithmic transfer (base e) input data
Creation date: (22/03/2004 23.06.00)
|
MacroPlugin | |
MinMaxExtractorPlugIn |
Extracts from the time series the inversion points, setting its range
from MIN_VALUE to MAX_VALUE.
|
MinMaxExtractorPlugInBeanInfo | |
MonitorPlugin |
This class represents a generic listener of the net's events.
|
MonitorPluginBeanInfo | |
MovingAveragePlugIn |
Changes the specified input serie data so that it becomes a moving average of
itself.
|
MovingAveragePlugInBeanInfo | |
NeuralNetRunner | |
NormalizerPlugIn |
Normalizes the input data within a predefined range
Creation date: (23/10/2000 23.23.25)
|
NormalizerPlugInBeanInfo | |
OutputConverterPlugIn |
Abstract class that must be extended to implement plugins for output data preprocessing.
|
OutputConverterPlugInBeanInfo | |
OutputPluginEvent | Deprecated
Use
PlugInEvent |
PlugInEvent |
This event is sent by plug-ins indicating that data is changed.
|
RbfRandomCenterSelector |
This plug in is used to select fixed centers for Gaussian RBF layers randomly
from the input data.
|
ShufflePlugin |
This plugin shuffles the content of the input buffer
by mixing randomly the rows.
|
ShufflePluginBeanInfo | |
SnapshotFormatEditor |
A property editor for the
format property
of a SnapshotRecorder plugin. |
SnapshotPlugin |
A SnapshotPlugin manages the generation of snapshots of the network's state
at regular intervals during its activity.
|
SnapshotRecorder |
A SnapshotRecorder serves to create and record snapshots of a neural network
in a file as a serie of serialized objects graphs.
|
SnapshotRecorderBeanInfo | |
ToBinaryPlugin |
This plug-in converts 10-base data to binary format.
|
ToBinaryPluginBeanInfo | |
UnNormalizerOutputPlugIn |
UnNormalizes the input data within a predefined range.
|
UnNormalizerOutputPlugInBeanInfo | |
WeightWriterPlugin |
A class that can be used to write weight values during training to
a file in gnuplot format.
|
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