I wonder if there's some way to introduce strictfp into the drl. (I'm not even
sure if that would even solve the problem. But I figure it'd get you in the
ballpark.) But I think it would be useful to be able to inject strictfp into the
declarations of any generated drools classes.
--- On Mon, 5/4/09, Femke De Backere <femmyke(a)gmail.com> wrote:
From: Femke De Backere <femmyke(a)gmail.com>
Subject: Re: [rules-users] Rule problem
To: "Rules Users List" <rules-users(a)lists.jboss.org>
Date: Monday, May 4, 2009, 4:11 PM
I solved the problem by removing every double in the
sample.drl. How
van I fix the double problem if I really wanted to :)? In
this case it
is unnecassary but there must be a solution?
Thanks for all the help!
Femke
Op 4-mei-09, om 21:48 heeft Wolfgang Laun het volgende
geschreven:
> Don't use doubles. Try the same thing, scaling the
random weights
> with 10 (or 100) convert to int, and use suitably
scaled integer
> limits for your weight classes.
>
> I'm not at all sure, what various JVM versions
and/or Rand
> generators could produce.
>
> The javadoc for java.lang.Math is an indicator that
things might not
> be as simple as they ought to be.
>
> I could reproduce the problem this afternoon, but now
I can't any
> more, on the same machine, same JVM and same Drools
version.
>
> -W
>
>
> 2009/5/4 Femke De Backere <femmyke(a)gmail.com>
> So, I did as you suggested, with the following as
result:
> BMI of 10 U heeft ondergewicht: 10
> BMI of 30 U heeft ondergewicht: 30
> BMI of 30 U heeft obesitas: 30
> BMI of 20 U heeft ondergewicht: 20
>
> So, I really don't get it, I used exactly the same
code as you.
>
> Femke
>
> Op 4-mei-09, om 17:11 heeft Greg Barton het volgende
geschreven:
>
>>
>> Well, approach this systematically, then: Create a
new Drools
>> project in Eclipse and replace the DroolsTest.java
and Sample.drl
>> with the ones I sent before. What results do you
get? If they are
>> correct, modify the project one step at a time
until the problem is
>> uncovered.
>>
>> One place to focus on: you're using rule
flows. I have no idea how
>> that could cause a false positive result like
you've seen, but you
>> never know.
>>
>> Finally, if you're comparing performance of
rules vs plain java,
>> plain java will easily win in this case. The rule
of thumb is
>> this: if you can easily write a plain non-rules
algorithm it will
>> outperform the rules solution.
>>
>> --- On Mon, 5/4/09, Femke De Backere
<femmyke(a)gmail.com> wrote:
>>
>>> From: Femke De Backere
<femmyke(a)gmail.com>
>>> Subject: Re: [rules-users] Rule problem
>>> To: "Rules Users List"
<rules-users(a)lists.jboss.org>
>>> Date: Monday, May 4, 2009, 6:53 AM
>>> I'm using this:
>>> package bmi
>>>
>>> import bmi.DroolsTest.BMIClass;
>>>
>>> rule "Overgewicht"
>>> ruleflow-group "BMIrules"
>>> when
>>> bmiClass : BMIClass($bmi: bmi >= 25, bmi
< 30)
>>> then
>>> System.out.println("U heeft
overgewicht: " +
>>> $bmi);
>>> end
>>>
>>> rule "Obesitas"
>>> ruleflow-group "BMIrules"
>>> when
>>> bmiClass : BMIClass($bmi : bmi >= 30)
>>> then
>>> System.out.println("U heeft obesitas:
" +
>>> $bmi);
>>> end
>>>
>>>
>>> rule "Ondergewicht"
>>> ruleflow-group "BMIrules"
>>> when
>>> bmiClass : BMIClass($bmi : bmi < 18.5)
>>> then
>>> System.out.println("U heeft
ondergewicht: " +
>>> $bmi);
>>> end
>>>
>>>
>>> rule "Normaal"
>>> ruleflow-group "BMIrules"
>>> when
>>> bmiClass : BMIClass($bmi : bmi >= 18.5,
bmi < 25)
>>> then
>>> System.out.println("U heeft een normaal
gewicht:
>>> " + $bmi);
>>> end
>>>
>>> But in essence it is the same as Greg's. I
get outputs
>>> as:
>>>
>>> U heeft ondergewicht: 25.0
>>> U heeft overgewicht: 25.0
>>>
>>> But I really don't see the problem.
>>>
>>> Femke
>>>
>>> Op 4-mei-09, om 13:25 heeft Wolfgang Laun het
volgende
>>> geschreven:
>>>
>>>> I cannot reproduce your findings.
>>>> Which bmi values cause the firing of two
rules?
>>>> Are you using exactly the same .drl file
Greg sent?
>>>> -W
>>>>
>>>> 2009/5/4 Femke De Backere
<femmyke(a)gmail.com>
>>>> Thanks for the answer! But I sometimes get
2 rules
>>> that are correct,
>>>> and that is impossible. I embedded
Greg's
>>> DroolsTest class in my
>>>> class (I am doing some test on performance
and
>>> studying the
>>>> difference between performance with a
plain java
>>> class), and it
>>>> still doesn't work, and I really
don't see
>>> why. Anyone any
>>>> suggestions, in attachement, my class.
>>>>
>>>> Thx,
>>>>
>>>> Femke
>>>>
>>>>
>>>>
>>>>
>>>> Op 4-mei-09, om 02:47 heeft Greg Barton
het volgende
>>> geschreven:
>>>>
>>>> Try the attached code.
>>>>
>>>> --- On Sun, 5/3/09, Femke De Backere
>>> <femmyke(a)gmail.com> wrote:
>>>>
>>>> From: Femke De Backere
<femmyke(a)gmail.com>
>>>> Subject: Re: [rules-users] Rule problem
>>>> To: "Rules Users List"
>>> <rules-users(a)lists.jboss.org>
>>>> Date: Sunday, May 3, 2009, 6:18 PM
>>>> Thx for the answer. I tried this but I
doesn't
>>> seem to
>>>> work. For a BMI of 20, i get the result
>>>> "ondergewicht", and it should be
>>>> "normal".
>>>>
>>>> Op 4-mei-09, om 01:04 heeft Ingomar Otter
het volgende
>>>> geschreven:
>>>>
>>>> Femke,
>>>> The "Overgewicht| rule matches for
_two_ BMIClass
>>>> facts, one with bmi >- 25 and one for
BMIClass
>>> <30.
>>>> If you want to apply multiple constraints
to a single
>>>> fact you have to list them as such:
>>>>
>>>> rule "Overgewicht"
>>>> when
>>>> bmiClass : BMIClass(bmi
>= 25
>>> && bmi
>>>> <30)
>>>> then
>>>> System.out.println("U
heeft
>>>> overgewicht");
>>>> end
>>>>
>>>>
>>>> Cheers,
>>>> Ingomar
>>>>
>>>>
>>>> Am 04.05.2009 um 00:48 schrieb Femke De
Backere:
>>>>
>>>> Hi!
>>>>
>>>> I want to make en BMI rule application, so
I need
>>>> to test the BMI values. But in rule
>>> "Overgewicht"
>>>> and "Normaal", I need to use an
AND, but it
>>>> doesn't seem to work in any way I
tried.
>>>>
>>>> Does anybody see the problem? The rest of
the
>>>> application is based on de sample project
(created
>>> when
>>>> making a new Drools project).
>>>>
>>>> Thx,
>>>>
>>>> Femke
>>>>
>>>> package bmi
>>>>
>>>> import bmi.DroolsTest.BMIClass;
>>>>
>>>> rule "Overgewicht"
>>>> when
>>>> bmiClass : BMIClass(bmi
>= 25)
>>>> bmiClass : BMIClass(bmi <
30)
>>>> then
>>>> System.out.println("U
heeft
>>>> overgewicht");
>>>> end
>>>>
>>>> rule "Obesitas"
>>>> when
>>>> bmiClass : BMIClass($bmi :
bmi >=
>>> 30)
>>>> then
>>>> System.out.println("U
heeft
>>>> obesitas");
>>>> end
>>>>
>>>> rule "Ondergewicht"
>>>> when
>>>> bmiClass : BMIClass($bmi :
bmi <
>>> 18.5)
>>>> then
>>>> System.out.println("U
heeft
>>>> ondergewicht");
>>>> end
>>>>
>>>> rule "Normaal"
>>>> when
>>>> bmiClass : BMIClass(bmi
>= 18.5)
>>>> bmiClass : BMIClass(bmi <
25)
>>>> then
>>>> System.out.println("U
heeft een
>>> normaal
>>>> gewicht");
>>>>
>>>> end
>>>
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