public class SomConfig
extends java.lang.Object
Modifier and Type | Field and Description |
---|---|
java.lang.String |
activationFunction
Activation Function
|
java.lang.String |
dataType
Data type
|
int |
iterations
Maximum number of training iterations
|
java.lang.String |
learningFramework
SOM Learning Framework
|
java.lang.String |
learningFunction
Learning Function
|
java.util.HashMap<java.lang.String,java.lang.Object> |
lfParams
Learning function config parameters
|
java.lang.String |
metric
Evaluation Metric
|
java.lang.String |
neighbourhoodFunction
Neighbourhood Function
|
java.lang.String |
neighbourhoodFunctionModel
Neighbourhood Function model
|
java.util.ArrayList |
neuronWeights
List of existing weights for each neuron, from an earlier test run
|
org.ai_heuristic.data.LearningDataModel |
somData
The data to train the neural network with
|
java.lang.String |
topology
Topology
|
int |
topologyCol
Topology column
|
int |
topologyRadius
Topology radius of influence
|
int |
topologyRow
Topology row
|
int |
weightNumber
Number of weights
|
double[] |
weights
List of initialisation weights
|
Constructor and Description |
---|
SomConfig()
Create a new instance of SomConfig
|
Modifier and Type | Method and Description |
---|---|
java.lang.Object |
clone()
Copy the values of this config and return.
|
public int iterations
public int weightNumber
public int topologyRow
public int topologyCol
public int topologyRadius
public java.lang.String dataType
public java.lang.String learningFramework
public java.lang.String learningFunction
public java.lang.String neighbourhoodFunction
public java.lang.String neighbourhoodFunctionModel
public java.lang.String activationFunction
public java.lang.String topology
public java.lang.String metric
public java.util.HashMap<java.lang.String,java.lang.Object> lfParams
public double[] weights
public java.util.ArrayList neuronWeights
public org.ai_heuristic.data.LearningDataModel somData