From fe471bb707226052551d75b043295ca5f57261c0 Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Sun, 25 Sep 2011 20:23:09 +0200
Subject: removed some quirks, less boost, prettier code, score_t

---
 dtrain/README | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

(limited to 'dtrain/README')

diff --git a/dtrain/README b/dtrain/README
index 137c1b48..42b91b9b 100644
--- a/dtrain/README
+++ b/dtrain/README
@@ -1,13 +1,4 @@
-NOTES
- learner gets all used features (binary! and dense (logprob is sum of logprobs!))
- weights: see decoder/decoder.cc line 548
- (40k sents, k=100 = ~400M mem, 1 iteration 45min)?
- utils/weights.cc: why wv_?
- FD, Weights::wv_ grow too large, see utils/weights.cc;
-     decoder/hg.h; decoder/scfg_translator.cc; utils/fdict.cc
-
 TODO
- enable kbest FILTERING (nofiler vs unique)
  MULTIPARTITE ranking (108010, 1 vs all, cluster modelscore;score)
  what about RESCORING?
  REMEMBER kbest (merge) weights?
@@ -30,7 +21,7 @@ TODO
  non deterministic, high variance, RANDOM RESTARTS
  use separate TEST SET
 
-KNOWN BUGS PROBLEMS
+KNOWN BUGS, PROBLEMS
  doesn't select best iteration for weigts
  if size of candidate < N => 0 score
  cdec kbest vs 1best (no -k param), rescoring? => ok(?)
-- 
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