public class Tree.Leaf extends Tree.M
parameterised
Tree FunctionModel consisting
of a single Leaf; it contains a Model
over the output
(dependent) datum, 'od'. mdl is a parameteristaion of
Tree.leafUPM
. Also see Tree.Fork
.Model.Defaults
Value.Atomic, Value.Bool, Value.Char, Value.Chars, Value.Cts, Value.Defer, Value.Discrete, Value.Enum, Value.Inc_Or, Value.Int, Value.Lambda, Value.List, Value.Maybe, Value.Option, Value.Real, Value.Scannable, Value.Structured, Value.Triv, Value.Tuple
Modifier and Type | Field and Description |
---|---|
Model |
mdl
'mdl', the Model of the output datum, 'od'.
|
Constructor and Description |
---|
Leaf(double msg1,
double msg2,
Value sp)
|
Modifier and Type | Method and Description |
---|---|
Model |
condModel(Value id)
Given input datum 'id', always return
mdl of od. |
double |
nlLH(Value ss)
Assumes
statistics 'ss'
are the data-set itself. |
asUPModel, condNl2Pr, condNlPr, condPr, nlPr, pr, random, random
asEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, random, randomSeries, statParams, stats, stats, sumNlPr, type, zeroTriv
public final Model mdl
leafUPM
.apply(sp.fst()).
Note that mdl can be a simple Model
or a
FunctionModel
, say.public Leaf(double msg1, double msg2, Value sp)
public double nlLH(Value ss)
statistics
'ss'
are the data-set itself.public Model condModel(Value id)
mdl
of od.condModel
in class FunctionModel