Package
Class
Use
Tree
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
F
G
I
J
K
L
M
N
O
P
R
S
T
U
V
W
G
gammaArr
- Variable in class jncc20.
NaiveCredalClassifier2
gamma array is defined for Mar features only; it contains conditional count with respect to class c1 after having dropped missing data
gammaln(double)
- Method in class jncc20.
NaiveClassifier
The gamma function is necessary in order to compute the marginal likelihood.
gammaTildeArr
- Variable in class jncc20.
NaiveCredalClassifier2
Sum of occurrences of class c1, considering only those instances of the learning set where the NonMar feature is non missing.
getClassCountAsMar(int)
- Method in class jncc20.
NaiveClassifier.Feature
getClassList(int)
- Method in class jncc20.
MdlDiscretizer
Returns the list of classes corresponding to a certain numerical value of a feature, within the PairVector.
getClassValue()
- Method in class jncc20.
MdlDiscretizer.Pair
getCondFrequencies(int)
- Method in class jncc20.
NaiveClassifier.Feature
getConditionalFreq()
- Method in class jncc20.
NaiveClassifier.Feature
getConditionalFrequencies(int, int)
- Method in class jncc20.
NaiveClassifier.Feature
getCrossingX()
- Method in class jncc20.
NaiveCredalClassifier2.PartitionPoint
getCutPoints()
- Method in class jncc20.
MdlDiscretizer
getDiscretizationIdx(Double, int)
- Method in class jncc20.
Jncc
Given a numerical value of a certain discretized feature, returns the index of the bin in which the value falls
getFeatureValue()
- Method in class jncc20.
MdlDiscretizer.Pair
getFrequency()
- Method in class jncc20.
NaiveClassifier.OutputClass
getLogProbability(int)
- Method in class jncc20.
NaiveClassifier.Feature
getLogProbability(int, int)
- Method in class jncc20.
NaiveClassifier.Feature
getLogProbability()
- Method in class jncc20.
NaiveClassifier.Feature
getLogProbability()
- Method in class jncc20.
NaiveClassifier.OutputClass
getMinimizingTupleLeft()
- Method in class jncc20.
NaiveCredalClassifier2.PartitionPoint
getMinimizingTupleRight()
- Method in class jncc20.
NaiveCredalClassifier2.PartitionPoint
getMissing()
- Method in class jncc20.
NaiveClassifier.Feature
getMissing(int)
- Method in class jncc20.
NaiveClassifier.Feature
getName()
- Method in class jncc20.
NaiveClassifier.Feature
getName()
- Method in class jncc20.
NaiveClassifier.OutputClass
getOutputClasses()
- Method in class jncc20.
NaiveClassifier
getPredictions()
- Method in class jncc20.
NaiveBayes
getPredictions()
- Method in class jncc20.
NaiveCredalClassifier2
Returns the matrix of the predictions
getPredictions(int)
- Method in class jncc20.
NaiveCredalClassifier2
Returns the vector, which contains the prediction for instance in position idx
getProbabilities()
- Method in class jncc20.
NaiveBayes
getUncondFrequencies()
- Method in class jncc20.
NaiveClassifier.Feature
Package
Class
Use
Tree
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
F
G
I
J
K
L
M
N
O
P
R
S
T
U
V
W