Creating an AI Assistant for SAS Viya in 5 steps (@sassoftware/viya-assistantjs) - Part I
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Recently in the SAS Community Library: SAS' @kumardeva debunks the myth that developing AI assistants is too hard. He shows you how to use the @sassoftware/viya-assistantjs library to jump start your development.
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I've deleted SAS 9.4M5 in order to install SAS 9.4M8 on my PC.
I've run this program to check my graph setting.
I've tried with SAS Fundation and SAS Enterprise Guide
proc freq data=sashelp.class;
table sex / plots=freqplot;
run;
But get the following error message:
ERROR: The Java proxy is not responding.
ERROR: The Java proxy's JNI call to start the VM failed.
ERROR: Unable to load the Java Virtual Machine. Please see the installation instructions or
system administrator.
ERROR: Unable to load the Java Virtual Machine. Please see the installation instructions or
system administrator.
I've run
proc options option=jreoptions;
run;
Here is my output
JREOPTIONS=( -DPFS_TEMPLATE=C:\Program Files\SASHome\SASFoundation\9.4\tkjava\sasmisc\qrpfstpt.xml
-Djava.class.path=C:\PROGRA~1\SASHome\SASVER~1\eclipse\plugins\SASLAU~1.JAR -Djava.security.auth.login.config=C:\Program
Files\SASHome\SASFoundation\9.4\tkjava\sasmisc\sas.login.config -Djava.security.policy=C:\Program
Files\SASHome\SASFoundation\9.4\tkjava\sasmisc\sas.policy -Djava.system.class.loader=com.sas.app.AppClassLoader
-Dlog4j.configurationFile=file:/C:/Program%20Files/SASHome/SASFoundation/9.4/tkjava/sasmisc/sas.log4j.properties
-Dsas.app.class.path=C:\PROGRA~1\SASHome\SASVER~1\eclipse\plugins\tkjava.jar -Dsas.ext.config=C:\Program
Files\SASHome\SASFoundation\9.4\tkjava\sasmisc\sas.java.ext.config
-Dsas.jre.libjvm=C:\PROGRA~1\SASHome\SASPRI~1\9.4\jre\bin\server\jvm.dll
-Dtkj.app.launch.config=C:\PROGRA~1\SASHome\SASVER~1\picklist -Xms128m -Xmx512m )
Specifies the Java Runtime Environment options for SAS.
I've seen that answer but I don't know which java version to go for? Java 11?
https://communities.sas.com/t5/SAS-Procedures/ERROR-The-Java-proxy-is-not-responding/m-p/149423#M39428
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Esteemed Advisors:
I am trying to interleave two datasets with a condition that the resulting dataset contains only observations that can be found in both of the two datasets.
Below is exemplar code to illustrate the problem. If you run this code and inspect dataset interleave2 you will see that for a group of 3 observations where target=1, two came from Random_A and one came from Random_B. Likewise, for a group of three observations where target=2, two came from Random_B and one came from Random_A. All of these observations need to be retained in the desired dataset.
For the group of 3 observations where target=3, all observations came from Random_B only. These are ones that need to be omitted. All observations for a given target that come from a single source dataset are not to be retained in the desired dataset.
The challenge for me (and now for you) is to come up with the code that will interleave Random_A and Random_B such that the resultant dataset that only contains the groups of targets that are present in both datasets.
Hope this makes sense and thanks for taking a look,
Gene
data Random_A (drop=i);
call streaminit(4786);
do i=1 to 100;
Source="A";
Target=rand("Integer",1,100);
ST=catx('/',Source,Target);
output;
end;
data Random_B (drop=i);
call streaminit(6874);
do i=1 to 150;
Source="B";
Target=rand("Integer",1,100);
ST=catx('/',Source,Target);
output;
end;
Proc sort data=Random_A;
by ST;
run;
Proc sort data=Random_B;
by ST;
run;
data interleave1;
set random_A random_B;
by ST;
run;
proc sort data=interleave1 out=interleave2 nounikey;
by target;
run;
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