I can run it on Win2k Client.
I used the following command:
C:\DJFHQ\Info_Extraction\Weka>java -classpath weka-3-2-3\weka-3-2-3\weka.jar
I have WekaMetal.jar in the CLASSPATH. I also used WinZip to "unzip" the JAR
files for Weka 3.2.3 and WekaMetal after downloading them.
My version of Java is the following:
java version "1.3.0_02"
Java(TM) 2 Runtime Environment, Standard Edition (build 1
Java HotSpot(TM) Client VM (build 1.3.0_02, mixed mode)
PS I also noticed a possible typo in your quoted string which maybe should
"G:\Program Files\Weka-3-2-3\weka.jar" i.e. the "-3" is missing.
From: Chris Bacon [mailto:email@example.com]
Sent: Saturday, 17 August 2002 10:29 AM
Subject: [Wekalist] WekaMetal and Windows?
Has anyone been able to run WekaMetal on Windows? I've tried on
Server from a command prompt where I get this:
G:\Program Files\WekaMetal>java -jar WekaMetal.jar:"G:\Program
Exception in thread "main" java.util.zip.ZipException: The filename,
ame, or volume label syntax is incorrect
at java.util.zip.ZipFile.open(Native Method)
at java.util.zip.ZipFile.<init>(Unknown Source)
at java.util.jar.JarFile.<init>(Unknown Source)
at java.util.jar.JarFile.<init>(Unknown Source)
I've played around with the ClassPath, but it didn't help. I've also
from within IBM Websphere Application Developer, where it gets an IO error
because it can't find the cache files (ap.cache and dc.cache), even though
they're both in the same directory as the WekaMetal.jar file.
Any help would be appreciated.
Wekalist mailing list
I am applying ID3 to a medical data set and was wondering if there is a way to
get Weka to output the results of the ID3 algorithm graphically so that the
Specialist can interpret the results easily?
Im running Naive Bayes and Id like know is it possible to inspect
probability tables somehow? When I right click the Naive Bayes in result
list of the Explorer, I am not allowed to choose "visualize tree" option.
I have written a classification scheme in Java using the Weka-library.
Now, I want to use the 'Experimenter' for doing some experiments
with this new classification scheme.
(Up till now I wrote my own experiments in Java, but probably the
Experimenter seems like a better option.)
In the README file it is indicated that the file
GenericObjectEditor.props is the place to be. I thus copied this
file to my home directory and I added ...
monotone.MinMaxExtension,\ #line added
monotone.OSDL #line added
This works, in the sense that in the Experimenter-gui
I now can choose from 'MinMaxExtension' and 'OSDL'.
but upon choosing one of these I get the error message
'could not create an example of weka.MinMaxExtension from the
current classpath' ...
I have to say that
1) I find it strange that the 'monotone' part is cut from the classname,
and that 'weka' is prefixed ...
2) the class 'MinMaxExtension' is part of the package 'monotone'.
I.e. the first line of 'MinMaxExtension.java' is 'package monotone;'
3) the file 'MinMaxExtension.class' is in a directory called
$SOMETHING/Source/monotone and this directory is part of my
classpath; in my .bashrc I have
Any hints on how to proceed are welcome. If possible I would like to
keep these files in the current package ....
Would it be possible to use the multivariate normal naive Bayes
classifier in WEKA to perform quadratic discriminant analysis by not
assuming equal covariance matrices?
I meet the same problem with this.
So I want to know, if I use the method instances.delete(0);
Will the order of the instances be changed?
For example,original instance(1) becomes instance(0) after the deleting.
Or it just null in instance(0) ?
I am confused with results....
whats the difference between applying a " filtered classifier" and "
applying filters first to preprocess ... and... then applying a classifier..."
The results of classifier accuracy differ a lot ... much improved in case of
preprocessing first and then applying a classifier algo.
It may be of much help to me if some one may explain the difference..
Can some one please guide me where I can find details on "Supervised --
instance filters" used in weka 3.4 for preprocessing...... particularly
any reference material from where i can understand the terms and
Zia Ul Qayyum
School of Computing
University of Leeds
Leeds- LS2 9JT
0044 113 34 36589
I have traced the source code and find that if I use the method instances.delete(0),
the order of the instances wil be changed.
The instance.delete(index) method just call the System.arraycopy(Object src, int srcPos,Object dest, int destPos, int ength) method.
But now I have to do is delete some specific index of Instance from Instances.
For instance, I want to delete instance(7),instance(8),instance(9), instance(34)....etc.
It is impossible for doing this by instance.delete(index) method because the index order will be changed after deleting.
Is there any good advice to do this?
Thank you very much!