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A
arity()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns the arity (number of branches) of the tree.
B
branches
- Variable in class edu.wlu.cs.levy.RAAM.
Tree
C
count()
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Returns number of entries.
D
decode(double[], Vectionary)
- Method in class edu.wlu.cs.levy.RAAM.
RAAM
Decodes a fixed-size vector to a tree.
depth()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns the depth of the tree.
E
edu.wlu.cs.levy.RAAM
- package edu.wlu.cs.levy.RAAM
encode(Tree, Vectionary)
- Method in class edu.wlu.cs.levy.RAAM.
RAAM
Encodes a tree to a fixed-size vector.
enter(String, double[])
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Enters a string<->vector mapping into the dictionary
enter(String, double[][])
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Enters vectors->string mappings into the dictionary.
equals(Object)
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Overrides Object.equals() method.
F
frontier()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns the frontier of the tree.
G
getAttractor(int, int)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns attractor points as array.
getAttractor(int, int, long)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns attractor points as array.
getAttractor(int, int, Random)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns attractor points as array.
getBranch(int)
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns a branch of the tree.
getDecoder()
- Method in class edu.wlu.cs.levy.RAAM.
RAAM
Returns decoder weights, biases as IFS (one row per transform)
getTrees(int, int, double)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getTrees(int, int, double, long)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getTrees(int, int, double, Random)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getTrees(int, int, Vectionary, double)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getTrees(int, int, Vectionary, double, long)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getTrees(int, int, Vectionary, double, Random)
- Method in class edu.wlu.cs.levy.RAAM.
IFSDecoder
Returns array of M trees by Monte Carlo sampling in [0,N)^D.
getValue()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns the string in the value field of the tree.
H
hashCode()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Overrides Object.hashCode() method.
I
IFSDecoder
- class edu.wlu.cs.levy.RAAM.
IFSDecoder
.
IFSDecoder is a class supporting multi-dimensional IFS attractor and tree computations by Monte-Carlo sampling.
IFSDecoder(double[][])
- Constructor for class edu.wlu.cs.levy.RAAM.
IFSDecoder
Creates an IFSDecoder, using K x (D^2+D) array of IFS transform weights, where K is # of transforms, D is # of dimensions.
IFSDecoder(double[][], double[])
- Constructor for class edu.wlu.cs.levy.RAAM.
IFSDecoder
Creates an IFSDecoder using weights and biases.
IFSDecoder(double[], int)
- Constructor for class edu.wlu.cs.levy.RAAM.
IFSDecoder
Creates an IFSDecoder using one-dimensional array of weights.
IFSDecoder(RAAM)
- Constructor for class edu.wlu.cs.levy.RAAM.
IFSDecoder
Construct decoder from RAAM network.
isTerminal()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Determines whether tree is terminal (has non-empty value).
L
lookup(double[])
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Returns string that keys vector.
lookup(String)
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Returns vector(s) keyed by string.
R
RAAM
- class edu.wlu.cs.levy.RAAM.
RAAM
.
Pollack's Recursive Auto-Associative Memory using SNARLI.
RAAM(int, int)
- Constructor for class edu.wlu.cs.levy.RAAM.
RAAM
Creates a RAAM encoder/decoder network with specified number of hidden units.
RAAM(int, int, long)
- Constructor for class edu.wlu.cs.levy.RAAM.
RAAM
Creates a RAAM encoder/decoder network with specified number of hidden units.
RAAM(int, int, Random)
- Constructor for class edu.wlu.cs.levy.RAAM.
RAAM
Creates a RAAM encoder/decoder network with specified number of hidden units.
S
subtrees()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Returns all subtrees of the tree.
T
toString()
- Method in class edu.wlu.cs.levy.RAAM.
Tree
Overrides Object.toString() method.
toString()
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Overrides Object.toString() method.
train(Tree[], Vectionary, int, double, double, int)
- Method in class edu.wlu.cs.levy.RAAM.
RAAM
Trains the RAAM network on a set of trees.
Tree
- class edu.wlu.cs.levy.RAAM.
Tree
.
Tree is a class supporting trees of arbitrary arity.
Tree(String)
- Constructor for class edu.wlu.cs.levy.RAAM.
Tree
Creates a tree by parsing a parenthesized expression.
Tree(Tree[])
- Constructor for class edu.wlu.cs.levy.RAAM.
Tree
Creates tree from a shallow copy of multiple branches.
Tree(Tree, Tree)
- Constructor for class edu.wlu.cs.levy.RAAM.
Tree
Creates a tree from two branches.
V
value
- Variable in class edu.wlu.cs.levy.RAAM.
Tree
Vectionary
- class edu.wlu.cs.levy.RAAM.
Vectionary
.
Vectionary is a class supporting a mapping from strings to vectors (double-precision arrays).
Vectionary(int)
- Constructor for class edu.wlu.cs.levy.RAAM.
Vectionary
Creates a dictionary with vector entries of specified size.
W
width()
- Method in class edu.wlu.cs.levy.RAAM.
Vectionary
Returns vector size.
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