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, Model.TransformValue.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, randomasEstimator, m1m2sp, msg, msg1, msg1bits, msg2, msg2bits, msgBits, nl2LH, nl2Pr, random, randomSeries, statParams, stats, stats, sumNlPr, transform, type, zeroTrivpublic 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