qunfold
Quickstart
API
Developer guide
Experiments
qunfold
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
O
|
P
|
Q
|
R
|
S
|
T
A
AbstractLoss (class in qunfold.methods.linear.losses)
AbstractMethod (class in qunfold)
AbstractRepresentation (class in qunfold.methods.linear.representations)
ACC (class in qunfold)
B
BlobelLoss (class in qunfold)
C
ClassRepresentation (class in qunfold)
CombinedLoss (class in qunfold)
CVClassifier (class in qunfold.sklearn)
D
DistanceRepresentation (class in qunfold)
E
EDx (class in qunfold)
EDy (class in qunfold)
EnergyKernelRepresentation (class in qunfold)
EnergyLoss (class in qunfold)
ExpectationMaximizer (class in qunfold)
F
fit() (qunfold.AbstractMethod method)
(qunfold.LinearMethod method)
fit_transform() (qunfold.methods.linear.representations.AbstractRepresentation method)
FunctionLoss (class in qunfold.methods.linear.losses)
G
GaussianKernelRepresentation (class in qunfold)
GaussianRFFKernelRepresentation (class in qunfold)
H
HDx (class in qunfold)
HDy (class in qunfold)
HellingerSurrogateLoss (class in qunfold)
HistogramRepresentation (class in qunfold)
I
instantiate() (qunfold.methods.linear.losses.AbstractLoss method)
K
KernelRepresentation (class in qunfold)
KMM (class in qunfold)
L
LaplacianKernelRepresentation (class in qunfold)
LeastSquaresLoss (class in qunfold)
LikelihoodMaximizer (class in qunfold)
LinearMethod (class in qunfold)
O
OriginalRepresentation (class in qunfold)
P
PACC (class in qunfold)
predict() (qunfold.AbstractMethod method)
(qunfold.LinearMethod method)
Q
QuaPyWrapper (class in qunfold.quapy)
R
RUN (class in qunfold)
S
solve() (qunfold.LinearMethod method)
T
TikhonovRegularization (class in qunfold)
TikhonovRegularized() (in module qunfold)
transform() (qunfold.methods.linear.representations.AbstractRepresentation method)