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Storable
interface.
true
all used alphabets ignore the case.
true
the alphabet ignores the case.
IntList
s that are used while computing the partial derivation
ImageResult
from a BufferedImage
.
Storable
.
Storable
.
BayesianNetworkScoringFunction
that is an inhomogeneous Markov model.order
.
InhomogeneousMarkov
structure from its XML-representation as returned by InhomogeneousMarkov.toXML()
.
Parameter
s in this ParameterSet
.
ParameterTree
randomly
Parameter
s,
which is a ParameterSet.ParameterList
.
Parameter
s,
which is a ParameterSet.ParameterList
, with an initial number of Parameter
s
of initCapacity
.
AlphabetContainer
by incorporating additional alphabets
into an exsisting AlphabetContainer
.
probs
.
ParameterSet
containing all parameters necessary to construct an
Object
that implements InstantiableFromParameterSet
.InstanceParameterSet
having empty parameter values.
InstanceParameterSet
having empty parameter values.
InstanceParameterSet
from its XML-representation.
InstanceParameterSet
from the alphabet and the length.
InstanceParameterSet
for an object that can handle sequences of variable length and with the alphabet.
ParameterSet
.size
.
IntronAnnotation
from a donor SinglePositionSequenceAnnotation
and an acceptor SinglePositionSequenceAnnotation
and a set of additional annotations.
IntronAnnotation
from its XML-representation as returned by LocatedSequenceAnnotationWithLength.toXML()
.
Model.emitSample(int, int...)
.
delim
.
ParameterSet
contains only atomic
parameters, i.e. the parameters do not contain ParameterSet
s
themselves.
NullProgressUpdater
.
true
if the datatype of test
can be casted to that of this instance and both have the same name and
comment for the result.
true
if test
and the current object have the same datatype, name and
comment for the result.
true
all postions use discrete values.
true
all postions use DiscreteAlphabetParameterSet
s.
true
if position pos
is a discrete random variable.
true
all positions use discrete values.
true
if continuous
is a symbol of the alphabet used in position
pos
.
true
if candidat
is an element of the internal interval.
true
if candidate
is an element of the internal interval.
true
if the object is currently used in a sampling, otherwise
false
.
true
if the object is currently used in a sampling, otherwise
false
.
ParameterTree
is a leaf, i.e. it has no children in the network structure of the
enclosing BayesianNetworkScoringFunction
.
true
if the parameter is required, false
otherwise
sel
is selected.
key
true
if the option at position idx
is selected.
Measure
supports shifts.
true
all postions use the same alphabet.
true
.
TRUE
if the model or classifier was trained when obtaining its XML-representation
stored in this ObjectResult
, FALSE
if it was not, and NA
if the object could not be trained anyway.
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