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-rwxr-xr-xgraehl/NOTES.beam9
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diff --git a/graehl/NOTES.beam b/graehl/NOTES.beam
index 59314439..a48d1ab7 100755
--- a/graehl/NOTES.beam
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@@ -18,3 +18,12 @@ randlm worth using? guess not.
actually get all 0-state models in 1st pass parse and prune passive edges per span.
allocate cube pruning budget per prev pass
+
+(has been tried in ISI decoder) models with nonstandard state comparison,
+typically (partially) greedy forest scoring, some part of the state is excluded
+from equality/hashing. Within virtual ff interface, would just add equals, hash
+to vtable (rather than the faster raw state compare). If this is done often,
+then add a nonvirtual flag to interface instead, saying whether to use the
+virt. methods or not. or: simple flag by user of ApplyModels (per feature?)
+saying whether to be 100% greedy or 0% - no halfway e.g. item name uses bigram
+context, but score using 5gram state.