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Full Discussion: SQL - is it possible
Top Forums Programming SQL - is it possible Post 302502371 by binlib on Monday 7th of March 2011 08:17:08 PM
Old 03-07-2011
If you are using Oracle 10g or later, you can use analytic functions like rank, mix and max.
Code:
  1  select ename, sal, deptno
  2   , decode(min(sal)over(partition by deptno), sal, 'MIN')
  3   , decode(max(sal)over(partition by deptno), sal, 'MAX')
  4* from emp

ENAME             SAL     DEPTNO DEC DEC
---------- ---------- ---------- --- ---
CLARK            2450         10
KING             5000         10     MAX
MILLER           1300         10 MIN
JONES            2975         20
FORD             3000         20     MAX
ADAMS            1100         20
SMITH             800         20 MIN
SCOTT            3000         20     MAX
WARD             1250         30
TURNER           1500         30
ALLEN            1600         30
JAMES             950         30 MIN
BLAKE            2850         30     MAX
MARTIN           1250         30

14 rows selected.

 

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LEARN ABOUT DEBIAN

svm-landscape

SVM-LANDSCAPE(1)						   User Commands						  SVM-LANDSCAPE(1)

NAME

       svm-landscape - Command line interface to svm-landscape in mlpy (version 2.2.0)

SYNOPSIS

       svm-landscape [options]

OPTIONS

       -h, --help
	      show this help message and exit

       -d FILE, --data=FILE
	      data - required

       -s, --standardize
	      standardize data

       -n, --normalize
	      normalize data

       -k K   k for k-fold cross validation

       -c SETS PAIRS
	      sets and pairs for monte carlo cross validation

       -S, --stratified
	      for stratified cv

       -K KERNEL, --kernel=KERNEL
	      kernel: 'linear', 'gaussian', 'polynomial', 'tr' [default linear]

       -P KPARAMETER, --kparameter=KPARAMETER
	      kernel parameter (two sigma squared) for gaussian and polynomial kernels [default 0.1]

       -o COST, --cost=COST
	      for cost-sensitive classification [-1.0, 1.0] [default 0.0]

       -m MIN, --min=MIN
	      min value for regularization parameter [default -5]

       -M MAX, --max=MAX
	      max value for regularization parameter [default 5]

       -p STEPS, --steps=STEPS
	      steps for regularization parameter [default 11]

       -e SCALE, --scale=SCALE
	      scale for regularization parameter: 'lin' or 'log' [default log]

       -l, --lists
	      Canberra distance indicator

       -a, --auc
	      Wmw_auc metric computation

mlpy								     July 2010							  SVM-LANDSCAPE(1)
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