- dataKeys - Variable in class org.ai_heuristic.data.LearningData
-
ArrayList contains node or data key names.
- dataList - Variable in class org.ai_heuristic.data.LearningData
-
ArrayList contains learning data
- dataset - Variable in class org.ai_heuristic.algo.AlgorithmCompareList
-
The dataset to compare with
- DefaultNetwork - Class in org.ai_heuristic.algo.cluster.som.network
-
Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/
Some classes or packages may have been moved or changed.
- DefaultNetwork(ArrayList, TopologyModel, FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNetwork
-
Create network with specified topology, random weight from
defined interval and number of inputs
- DefaultNetwork(int, double[], TopologyModel, FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNetwork
-
Create network with specified topology, random weight from
defined interval and number of inputs
- DefaultNetwork(String, TopologyModel, String, FunctionMetric, FunctionLearn, FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNetwork
-
Create network with specified topology and parameters get from
specified file
- DefaultNeuron - Class in org.ai_heuristic.algo.cluster.som.network
-
Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/
Note that the neuron value is simply the input vector times the weight values, there is no
distance function, but there can be an activation function.
- DefaultNeuron(int, double[], FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNeuron
-
Creates a new instance of DefaultNeuronWithBias with random weights value
- DefaultNeuron(double[], FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNeuron
-
Creates a new instance of DefaultNeuronWithBias with specified weights
defined in array
- DefaultNeuronWithBias - Class in org.ai_heuristic.algo.cluster.som.network
-
Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/
Some classes or packages may have been moved or changed.
- DefaultNeuronWithBias(int, double[], FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNeuronWithBias
-
Creates a new instance of DefaultNeuronWithBias with random weights value
- DefaultNeuronWithBias(double[], FunctionActivate) - Constructor for class org.ai_heuristic.algo.cluster.som.network.DefaultNeuronWithBias
-
Creates a new instance of DefaultNeuronWithBias with specified weights
defined in array
- DemerauLevenshtein - Class in org.ai_heuristic.functs.similar
-
An example of the Demerau-Levenshtein similarity measure.
- DemerauLevenshtein() - Constructor for class org.ai_heuristic.functs.similar.DemerauLevenshtein
-
Create a new instance of DemerauLevenshtein.
- DemerauLevenshtein(String) - Constructor for class org.ai_heuristic.functs.similar.DemerauLevenshtein
-
Create a new instance of DemerauLevenshtein.
- DEMERAULEVENSHTEIN - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
- depth - Variable in class org.ai_heuristic.algo.classify.Markov
-
Depth to search to
- DEPTH - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a tree depth for a search
- description - Variable in class org.ai_heuristic.model.FactoryInfo
-
Optional description
- difference(BagOfWords) - Method in class org.ai_heuristic.model.BagOfWords
-
Create a new bag of words that is the difference between of this one and
the one passed in.
- difference(BagOfWords) - Method in class org.ai_heuristic.model.MetaBagOfWords
-
Create a new bag of words that is the difference between of this one and
the one passed in.
- DIMKEYS - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a ordered key list for a dimension node element
- DIMSIZE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a dimension size node element
- DIRECTION - Static variable in class org.ai_heuristic.util.TextConst
-
Compass directions
- distance(MetricDataset) - Method in class org.ai_heuristic.algo.AlgorithmCompareList
-
Measure the distance between the dataset parameter and the dataset of this algorithm.
- distanceFunction - Variable in class org.ai_heuristic.algo.cluster.som.network.KohonenNeuron
-
Distance function
- divide(String, T, T) - Method in interface org.ai_heuristic.def.EvaluateMathDef
-
Divide the first value by the second and return the result.
- divide(String, Object, Object) - Method in class org.ai_heuristic.eval.MathBOW
-
Divide the first value by the second and return the result.
- divide(String, Object, Object) - Method in class org.ai_heuristic.eval.MathString
-
Divide the first value by the second and return the result.
- divide(String, String) - Method in class org.ai_heuristic.eval.MathString
-
Divide the second String value from the first by removing chars in value2
that are in value1.
- divide(String, T, T) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- divide(Integer, Integer) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- divide(Character, Character) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- divide(Long, Long) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- divide(Float, Float) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- divide(Double, Double) - Method in class org.ai_heuristic.eval.SimpleMathCompare
-
Divide the first value by the second and return the result.
- DIVIDE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines the division operator
- dotproduct(BagOfWords) - Method in class org.ai_heuristic.model.BagOfWords
-
Calculate the dotproduct value of this bag-of-words with the one passed in.
- dotproduct(BagOfWords) - Method in class org.ai_heuristic.model.MetaBagOfWords
-
Calculate the dotproduct value of this bag-of-words with the one passed in.
- DOTPRODUCT - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines the dotproduct operator
- dotproductOther(BagOfWords) - Method in class org.ai_heuristic.model.MetaBagOfWords
-
Update this bag of words with dotproduct of the 'other' fields from
the parameter passed in.
- DOUBLE - Static variable in class org.ai_heuristic.util.AiTypeConst
-
Double class type
- DOUBLEOBJ - Static variable in class org.ai_heuristic.util.AiTypeConst
-
Double object class type
- DQT - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- DUMMYKEY - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a dummy key that does not relate to any node