==============================================================
EVAL_MSD: Evaluate mean-square-difference between a model and
an example.
Code written by Katherine Smith, 2003
GENERAL
score = eval_msd(params, model, example)
INPUT/S
-params:
Parameters for model construction.
-model:
The model to be compared with the example
-example:
The example to be compared with the model.
OUTPUT/S
-score:
Mean-squared difference score.
PENDING WORK
-
KNOWN BUG/S
-None.
COMMENT/S
-This is just a mediating function. Is it really necessary or
is it just deceiving?
RELATED FUNCTION/S
MSD
ABOUT
-Created: November 23rd, 2003
-Last update: Novermber 26th, 2003
-Revision: 0.0.2
-Author: R. S. Schestowitz, University of Manchester
==============================================================0001 function score = eval_msd(params, model, example) 0002 % ============================================================== 0003 % EVAL_MSD: Evaluate mean-square-difference between a model and 0004 % an example. 0005 % 0006 % Code written by Katherine Smith, 2003 0007 % 0008 % GENERAL 0009 % 0010 % score = eval_msd(params, model, example) 0011 % 0012 % INPUT/S 0013 % 0014 % -params: 0015 % Parameters for model construction. 0016 % 0017 % -model: 0018 % The model to be compared with the example 0019 % 0020 % -example: 0021 % The example to be compared with the model. 0022 % 0023 % OUTPUT/S 0024 % 0025 % -score: 0026 % Mean-squared difference score. 0027 % 0028 % PENDING WORK 0029 % 0030 % - 0031 % 0032 % KNOWN BUG/S 0033 % 0034 % -None. 0035 % 0036 % COMMENT/S 0037 % 0038 % -This is just a mediating function. Is it really necessary or 0039 % is it just deceiving? 0040 % 0041 % RELATED FUNCTION/S 0042 % 0043 % MSD 0044 % 0045 % ABOUT 0046 % 0047 % -Created: November 23rd, 2003 0048 % -Last update: Novermber 26th, 2003 0049 % -Revision: 0.0.2 0050 % -Author: R. S. Schestowitz, University of Manchester 0051 % ============================================================== 0052 0053 score = msd(construct_model_example(params, model, 1:50),example);