The library documents itself · NLP & linguistics
stzDecisionTree
8 own methods · 0 forms written with extensions, listed under their method
the source: base/learning/stzDecisionTree.ring(opens in a new tab) · All classes · The area reference: NLP & linguistics
Under each method, its extensions (Q CS XT Z ZZ IB W U): bold and ticked, it exists; struck, it does not. The extensions and what they mean
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Method
Explanation, as the source carries it
init
(no comment in the source: the name reads as a sentence) initno extension
TrainingSetQ
THE HELD SET IS LIVE THROUGH HERE. Haro COPIES an object into an attribute, so the set handed to the constructor is a SNAPSHOT: growing the caller's own object afterwards would NOT reach this learner. Grow it through this accessor -- oLearner.TrainingSetQ().AddExample(...) -- which reaches the real held set (accessor + method call is live in Haro).no extension
SetFeatureNames
(no comment in the source: the name reads as a sentence) set feature namesno extension
Third time this phase has found this shape: the CSV module's per-cell regex recompile, the linear solver's per-variable re-parse, and now this. The expensive line is rarely the one the plan names -- the plan said "trees -> engine", and the tree was never the problem. 1 examples runno extension
Why
(no comment in the source: the name reads as a sentence) whyno extension
ToGraph
the learned model as a REAL stzGraph: decision nodes + labeled value edges + leaf nodes -- queryable like any other graphno extension