Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
I
index1toAll
- Variable in class prea.recommender.etc.
NonlinearPMF
list of number from 1 to n
indexList()
- Method in class prea.data.structure.
DenseVector
Get a list of existing indices.
indexList()
- Method in class prea.data.structure.
SparseVector
Get a list of existing indices.
initialize(double)
- Method in class prea.data.structure.
DenseVector
Set a same value to every element.
initialize(int[], double)
- Method in class prea.data.structure.
DenseVector
Set same value to given indices.
initialize(double)
- Method in class prea.data.structure.
SparseVector
Set a same value to every element.
initialize(int[], double)
- Method in class prea.data.structure.
SparseVector
Set same value to given indices.
innerProduct(DenseVector)
- Method in class prea.data.structure.
DenseVector
Inner product of two vectors.
innerProduct(SparseVector)
- Method in class prea.data.structure.
SparseVector
Inner product of two vectors.
inverse()
- Method in class prea.data.structure.
DenseMatrix
Calculate inverse matrix.
inverse()
- Method in class prea.data.structure.
SparseMatrix
Calculate inverse matrix.
INVERSE_USER_FREQUENCY
- Static variable in class prea.recommender.memory.
MemoryBasedRecommender
Similarity Measure Code for Inverse User Frequency
ItemAverage
- Class in
prea.recommender.baseline
The class implementing a baseline, predicting by the average of target item ratings.
ItemAverage(int, int, double, double, SparseVector)
- Constructor for class prea.recommender.baseline.
ItemAverage
Construct a constant model with the given data.
ItemBased
- Class in
prea.recommender.memory
The class implementing item-based neighborhood method, predicting by referring to rating matrix for each query.
ItemBased(int, int, int, int, int, int, boolean, double, SparseVector, boolean, String)
- Constructor for class prea.recommender.memory.
ItemBased
Construct an item-based model with the given data.
itemCount
- Variable in class prea.data.splitter.
DataSplitManager
The number of items.
itemCount()
- Method in class prea.data.structure.
DataMap
Count the number of elements in the map.
itemCount()
- Method in class prea.data.structure.
DenseMatrix
Actual number of items in the matrix.
itemCount()
- Method in class prea.data.structure.
DenseVector
Actual number of items in the vector.
itemCount()
- Method in class prea.data.structure.
SparseMatrix
Actual number of items in the matrix.
itemCount()
- Method in class prea.data.structure.
SparseVector
Actual number of items in the vector.
itemCount
- Static variable in class prea.main.
Prea
The number of items.
itemCount
- Static variable in class prea.main.
Splitter
The number of items.
itemCount
- Variable in class prea.recommender.baseline.
BaselineRecommender
The number of items.
itemCount
- Variable in class prea.recommender.
CustomRecommender
The number of items.
itemCount
- Variable in class prea.recommender.etc.
FastNPCA
The number of items.
itemCount
- Variable in class prea.recommender.etc.
NonlinearPMF
The number of items.
itemCount
- Variable in class prea.recommender.etc.
RankBased
The number of items.
itemCount
- Variable in class prea.recommender.etc.
SlopeOne
The number of items.
itemCount
- Variable in class prea.recommender.matrix.
MatrixFactorizationRecommender
The number of items.
itemCount
- Variable in class prea.recommender.memory.
MemoryBasedRecommender
The number of items.
itemFeatures
- Variable in class prea.recommender.etc.
NonlinearPMF
Item profile in low-rank matrix form.
itemFeatures
- Variable in class prea.recommender.matrix.
MatrixFactorizationRecommender
Item profile in low-rank matrix form.
itemFeaturesChange
- Variable in class prea.recommender.etc.
NonlinearPMF
Change of Item profile in low-rank matrix form.
itemRateAverage
- Static variable in class prea.data.splitter.
DataSplitManager
Average of ratings for each item.
itemRateAverage
- Static variable in class prea.main.
Prea
Average of ratings for each item.
itemRateAverage
- Static variable in class prea.main.
Splitter
Average rating for each item.
itemRateAverage
- Variable in class prea.recommender.baseline.
ItemAverage
Average of ratings for each item.
itemRateAverage
- Variable in class prea.recommender.memory.
ItemBased
Average of ratings for each item.
itemSimilarityFileName
- Variable in class prea.recommender.memory.
ItemBased
The name of pre-calculated item similarity file, if it is used.
itemSimilarityPrefetch
- Static variable in class prea.main.
Prea
Indicating whether loading pre-calculated item similarity file or not
itemSimilarityPrefetch
- Variable in class prea.recommender.memory.
ItemBased
Indicating whether the pre-calculated item similarity file is used.
iterator()
- Method in class prea.data.structure.
DataMap
Get an iterator for the map.
Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
K
L
M
N
O
P
Q
R
S
T
U
V
W
X