Changeset 870 for library/doc

Timestamp:

03/18/10 19:13:02 (14 years ago)

Author:

mido

Message:

LOG_LEVEL final cut (or rather semifinal? I hope to improve work with ids soon)
and also it rests to adapt applications, work is in progress

Files:

• library/doc/tutorial/02userguide2.dox (modified) (3 diffs)

library/doc/tutorial/02userguide2.dox

@@ -52 +52 @@
 A1.rv = y;
 A1.rgr = RVtimes([y,y],[-3,-1]) ;
-A1.options = 'logbounds,logll';
+A1.log_level = 'logbounds,logevidence';
 \endcode 
 This is the minimal configuration of an ARX estimator. Optional elements of bdm::ARX::from_setting() were set using their default values:
 
 The first three fileds are self explanatory, they identify which data are predicted (field \c rv) and which are in regressor (field \c rgr).
-The field \c options is a string of options passed to the object. In particular, class \c BM understand only options related to storing results:
+The field \c log_level is a string of options passed to the object. In particular, class \c BM understand only options related to storing results:
  - logbounds - store also lower and upper bounds on estimates (obtained by calling BM::posterior().qbounds()),
- - logll - store also loglikelihood of each step of the Bayes rule.
+ - logevidence - store also loglikelihood of each step of the Bayes rule.
 These values are stored in given logger (\ref ug_loggers). By default, only mean values of the estimate are stored.
 
@@ -129 +129 @@
 A1.rv = y;
 A1.rgr = RVtimes([y,u],[-3,-1]) ; 
-A1.options ='logbounds,logll';
+A1.log_level ='logbounds,logevidence';
 A1.frg = 0.9;
 A1.name = 'A1';
@@ -146 +146 @@
 E.prior.class = 'eDirich';         % prior on non-linear part
 E.prior.beta  = [1 1]; % 
-E.options ='logbounds,logll';
+E.log_level ='logbounds,logevidence';
 E.name = 'MPF';