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Interface Summary | |
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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 Summary | |
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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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