- T - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- TAB - Static variable in class org.ai_heuristic.util.SymbolHandler
-
- TAB - Static variable in class org.ai_heuristic.util.TextConst
-
Tab amount
- termCount - Variable in class org.ai_heuristic.eval.text.BowHeuristic
-
Count for every term in any document
- termList - Variable in class org.ai_heuristic.eval.text.BowHeuristic
-
List of all terms in all documents
- TextConst - Class in org.ai_heuristic.util
-
Some constant values relating to text operations.
- TextConst() - Constructor for class org.ai_heuristic.util.TextConst
-
Creates a new instance of TextConst
- TextHandler - Class in org.ai_heuristic.util
-
This class can be used for some basic text parsing operations.
- TextHandler() - Constructor for class org.ai_heuristic.util.TextHandler
-
- TEXTTYPE - Static variable in class org.ai_heuristic.util.TextConst
-
Defines a jar file type
- TiredNeuronModel - Interface in org.ai_heuristic.algo.cluster.som.network
-
Tired Neuon interface.
- toClusters(HashMap<String, ArrayList<KD_TreeNode>>) - Method in class org.ai_heuristic.algo.cluster.NearestNeighbour
-
Convert the groups of nn nodes to clusters of node names.
- toDataset(T) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object by calling the constructor with the closest match to the data object passed in.
- toDataset(String, T) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object by calling the constructor with the closest match to the data object passed in.
- toDataset(String, String, T) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object by calling the constructor with the closest match to the data object passed in.
- toDataset(String, String, MetricValue) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, ArrayList<?>) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, Vector<?>) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, HashMap<String, ?>) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, Hashtable<String, ?>) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, LinkedHashMap<?, ?>) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset(String, String, String) - Static method in class org.ai_heuristic.eval.metric.MetricDataset
-
Create a metric dataset object where each array value is added as a
MetricValue
object to the dataset.
- toDataset() - Method in class org.ai_heuristic.eval.metric.MetricValue
-
Create a new dataset, with this object value as a single value in it, or return this value
if it is already a MetricDataset.
- topology - Variable in class org.ai_heuristic.algo.cluster.som.kohonen.WTMLearningFunction
-
Reference to topology model
- TopologyModel - Interface in org.ai_heuristic.algo.cluster.som.topology
-
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.
- toSet(Object) - Static method in class org.ai_heuristic.eval.metric.ReplySet
-
Create a ReplySet object to wrap the reply in and return.
- toString() - Method in class org.ai_heuristic.algo.cluster.som.network.DefaultNetwork
-
Returns a string representation of the Coords object
- toString() - Method in class org.ai_heuristic.algo.cluster.som.network.KohonenNeuron
-
Returns a string representation of the NeuronModel.
- toString() - Method in class org.ai_heuristic.algo.cluster.som.topology.Coords
-
Returns a string representation of the Coords object
[ x = ,y = ]
- toString() - Method in class org.ai_heuristic.algo.cluster.som.topology.HexagonalTopology
-
Returns a string representation of the topology.
Neuron number nr is connected with: [ list of neurons ]
- toString() - Method in class org.ai_heuristic.algo.cluster.som.topology.MatrixTopology
-
Returns a string representation of the topology.
Neuron number nr is connected with: [ list of neurons ]
- toString() - Method in interface org.ai_heuristic.algo.cluster.som.topology.TopologyModel
-
Return a string representation of the topology.
- toString() - Method in class org.ai_heuristic.data.LearningData
-
Return a string representation of the data.
- toString() - Method in interface org.ai_heuristic.data.LearningDataModel
-
Return a string representation of the data.
- toString() - Method in class org.ai_heuristic.eval.Condition
-
Create and return a string-based description of this Condition object.
- toString() - Method in class org.ai_heuristic.eval.metric.MetricDataset
-
Get a String-based representation of this metric value object.
- toString() - Method in class org.ai_heuristic.eval.metric.MetricValue
-
Get a String-based representation of this metric value object.
- toString() - Method in class org.ai_heuristic.eval.metric.ReplySet
-
Return a string-based description of the dataset.
- toString() - Method in class org.ai_heuristic.tree.KD_Tree
-
Return a string-based description of the node branch.
- toString() - Method in class org.ai_heuristic.tree.Tree
-
Return a string-based description of the node branch.
- toString() - Method in class org.ai_heuristic.tree.TreeNode
-
Return a string-based description of the node branch.
- toString(TreeNode, String, ArrayList<String>) - Method in class org.ai_heuristic.tree.TreeNode
-
Return a string-based description of the node branch.
- toValue() - Static method in class org.ai_heuristic.eval.metric.MetricValue
-
Create an empty metric value object to be filled in later.
- toValue(Object) - Static method in class org.ai_heuristic.eval.metric.MetricValue
-
Create a metric value object that stores the single data point as is.
- toValue(String, String, Object) - Static method in class org.ai_heuristic.eval.metric.MetricValue
-
Create a metric value object that stores the single data point as is.
- toXml() - Method in class org.ai_heuristic.model.BagOfWords
-
Convert this bag of words into an XML format.
- toXml() - Method in class org.ai_heuristic.model.MetaBagOfWords
-
Convert this bag of words into an XML format.
- train(MetricDataset) - Method in class org.ai_heuristic.algo.AlgorithmLearn
-
Train the function based on the supervised training method, using the dataset as input.
- train(MetricDataset) - Method in class org.ai_heuristic.algo.classify.Markov
-
Train the function based on the supervised training method, using the dataset as input.
- trainText(String) - Method in class org.ai_heuristic.algo.classify.Markov
-
Train the function based on the contents of the text document.
- Tree - Class in org.ai_heuristic.tree
-
This class can be used to build a tree-like structure, representing arbitrary information.
- Tree(String) - Constructor for class org.ai_heuristic.tree.Tree
-
Create a new instance of Tree.
- Tree(String, String) - Constructor for class org.ai_heuristic.tree.Tree
-
Create a new instance of Tree.
- TREE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a root tree element
- TREE - Static variable in class org.ai_heuristic.util.AiTypeConst
-
Defines a Tree class parameter type
- TreeNode - Class in org.ai_heuristic.tree
-
This class can be used as the base for any node structure.
- TreeNode(String) - Constructor for class org.ai_heuristic.tree.TreeNode
-
Create a new instance of TreeNode.
- TreeNode(String, String) - Constructor for class org.ai_heuristic.tree.TreeNode
-
Create a new instance of TreeNode.
- TreeNode(String, MetricDataset) - Constructor for class org.ai_heuristic.tree.TreeNode
-
Create a new instance of TreeNode.
- TreeNode(String, String, MetricDataset) - Constructor for class org.ai_heuristic.tree.TreeNode
-
Create a new instance of TreeNode.
- TREENODE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
This defines a tree node element
- treeValueDeep() - Method in class org.ai_heuristic.tree.TreeNode
-
Traverse this tree structure and add a description of all value elements that
are not null or empty.
- trimNumber(String, boolean) - Static method in class org.ai_heuristic.util.TextHandler
-
Trim a potential number value by removing all non-numerical characters
from the start or the end of the string value.
- trimSymbols(String) - Static method in class org.ai_heuristic.util.TextHandler
-
Trim all symbols from the start or the end of the text string.
- TRUE - Static variable in class org.ai_heuristic.util.TextConst
-
True indicator
- trueCondition() - Static method in class org.ai_heuristic.eval.Condition
-
Get a boolean 'true' condition.
- TYPE - Static variable in class org.ai_heuristic.util.AiHeuristicConst
-
Defines a type field
- TYPELISTS - Static variable in class org.ai_heuristic.util.TextConst
-
Defines a type lists field
- TYPES - Static variable in class org.ai_heuristic.util.TextConst
-
Defines a types field