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Netlogo Api Controller - Get Table View

I am using Netlogo Api Controller With spring boot
this my code (i got it from this link )
HeadlessWorkspace workspace = HeadlessWorkspace.newInstance();
try {
workspace.open("models/Residential_Solar_PV_Adoption.nlogo",true);
workspace.command("set number-of-residences 900");
workspace.command("set %-similar-wanted 7");
workspace.command("set count-years-simulated 14");
workspace.command("set number-of-residences 500");
workspace.command("set carbon-tax 13.7");
workspace.command("setup");
workspace.command("repeat 10 [ go ]");
workspace.command("reset-ticks");
workspace.dispose();
workspace.dispose();
}
catch(Exception ex) {
ex.printStackTrace();
}
i got this result in the console:
But I want to get the table view and save to database. Which command can I use to get the table view ?
Table view:
any help please ?

If you can clarify why you're trying to generate the data this way, I or others might be able to give better advice.
There is no single NetLogo command or NetLogo API method to generate that table, you have to use BehaviorSpace to get it. Here are some options, listed in rough order of simplest to hardest.
Option 1
If possible, I'd recommend just running BehaviorSpace experiments from the command line to generate your table. This will get you exactly the same output you're looking for. You can find information on how to do that in the NetLogo manual's BehaviorSpace guide. If necessary, you can run NetLogo headless from the command line from within a Java program, just look for resources on calling out to external programs from Java, maybe with ProcessBuilder.
If you're running from within Java in order to setup and change the parameters of your BehaviorSpace experiments in a way that you cannot do from within the program, you could instead generate experiment XML files in Java to pass to NetLogo at the command line. See the docs on the XML format.
Option 2
You can recreate the contents of the table using the CSV extension in your model and adding a few more commands to generate the data. This will not create the exact same table, but it will get your data output in a computer and human readable format.
In pure NetLogo code, you'd want something like the below. Note that you can control more of the behavior (like file names or the desired variables) by running other pre-experiment commands before running setup or go in your Java code. You could also run the CSV-specific file code from Java using the controlling API and leave the model unchanged, but you'll need to write your own NetLogo code version of the csv:to-row primitive.
globals [
;; your model globals here
output-variables
]
to setup
clear-all
;;; your model setup code here
file-open "my-output.csv"
; the given variables should be valid reporters for the NetLogo model
set output-variables [ "ticks" "current-price" "number-of-residences" "count-years-simulated" "solar-PV-cost" "%-lows" "k" ]
file-print csv:to-row output-variables
reset-ticks
end
to go
;;; the rest of your model code here
file-print csv:to-row map [ v -> runresult v ] output-variables
file-flush
tick
end
Option 3
If you really need to reproduce the BehaviorSpace table export exactly, you can try to run a BehaviorSpace experiment directly from Java. The table is generated by this code but as you can see it's tied in with the LabProtocol class, meaning you'll have to setup and run your model through BehaviorSpace instead of just step-by-step using a workspace as you've done in your sample code.
A good example of this might be the Main.scala object, which extracts some experiment settings from the expected command-line arguments, and then uses them with the lab.run() method to run the BehaviorSpace experiment and generate the output. That's Scala code and not Java, but hopefully it isn't too hard to translate. You'd similarly have to setup an org.nlogo.nvm.LabInterface.Settings instance and pass that off to a HeadlessWorkspace.newLab.run() to get things going.

Apache Mahout not giving any recommendation

I am trying to use mahout for the recommendation but getting none.
My dataset :
0,102,5.0
1,101,5.0
1,102,5.0
Code :
DataModel datamodel = new FileDataModel(new File("dataset.csv"));
// Creating UserSimilarity object.
UserSimilarity usersimilarity = new PearsonCorrelationSimilarity(datamodel);
// Creating UserNeighbourHHood object.
UserNeighborhood userneighborhood = new ThresholdUserNeighborhood(0.1, usersimilarity, datamodel);
// Create UserRecomender
UserBasedRecommender recommender = new GenericUserBasedRecommender(datamodel, userneighborhood, usersimilarity);
List<RecommendedItem> recommendations = recommender.recommend(0, 1);
for (RecommendedItem recommendation : recommendations) {
System.out.println(recommendation);
}
I am using Mahout version : 0.13.0
Ideally, it should recommend item_id = 101' to 'user_id = 0' asuser = 0anduser = 1have item 102 common show it should recommenditem_id = 101touser_id = 0`
Logs :
18:08:11.669 [main] INFO org.apache.mahout.cf.taste.impl.model.file.FileDataModel - Creating FileDataModel for file dataset.csv
18:08:11.700 [main] INFO org.apache.mahout.cf.taste.impl.model.file.FileDataModel - Reading file info...
18:08:11.702 [main] INFO org.apache.mahout.cf.taste.impl.model.file.FileDataModel - Read lines: 3
18:08:11.722 [main] INFO org.apache.mahout.cf.taste.impl.model.GenericDataModel - Processed 2 users
18:08:11.738 [main] DEBUG org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender - Recommending items for user ID '0'

The Hadoop Mapreduce code in Mahout is being deprecated. The new recommender code starts with #rawkintrevo 's examples. If you are a Scala programmer follow them.
Most Engineers would like a system that works with no modification, The Mahout algorithm is encapsulated in The Universal Recommender built on top of Apache PredictionIO. It has a server to accept events, like the ones in your example, it has internal event storage, and a query server for results. There are numerous improvements over the old Mapreduce code, including using real-time user behavior to make recommendations. Neither the new Mahout nor the old included servers for input and query, the Universal Recommender has REST endpoints for both.
Given that the code you are using will be deprecated I strongly suggest that you dive into Mahout code (#rawkintrevo's example) or look at The Universal Recommender, which is an entire end-to-end system.
Install PredictionIO with a "single machine" setup here or to really shortcut setup use our prepackaged AWS AMI here It includes PIO and The Universal Recommender pre-installed.
Add the UR Template here
A Java SDK for sending events to the recommender here
Once you have this setup you deal with config, REST or Java SDK and the PIO CLI. No Scala coding required.

I have three examples that are based on version 0.13.0 (and Scala, which is required for Samsara, the R-Like Scala DSL Mahout utilizes v0.10+)
Walk
The first example is a very slow walk through:
https://gist.github.com/rawkintrevo/3869030ff1a731d43c5e77979a5bf4a8
and is meant as a companion to Pat Ferrels blog post/slide deck found here.
http://actionml.com/blog/cco
Crawl
The second example is a little more "real" in that it utilizes the SimilarityAnalysis.cooccurrencesIDSs(... which is the propper interface for the CCO algorithm.
https://gist.github.com/rawkintrevo/c1bb00896263bdc067ddcd8299f4794c
Run
Here we use 'real' data. The MovieLens data set doesn't have enough going on to showcase CCO's multi-modal power (the ability to recommend on multiple user behaviors). Here we load 'real' data and generate recommendations.
https://gist.github.com/rawkintrevo/f87cc89f4d337d7ffea80a6af3bee83e
Conclusion
I know you specifically asked for Java, however Apache Mahout isn't geared for Java at the moment. In theory you could import Scala into your java, or maybe wrap the functions in another more Java friendly function... I've heard rumors late at night (or possibly in a dream) that some grad students some where were working on a Java API, but its not in the trunk at the moment, nor is there a PR, nor is their a bullet in the road map.
Hope the above provides some insight.
Appendix
The most trivial example for Stackoverflow (you can run this interactively in the Mahout spark shell by typing $MAHOUT_HOME/bin/mahout spark-shell (assuming SPARK_HOME, JAVA_HOME and MAHOUT_HOME are set):
val inputRDD = sc.parallelize(Array( ("u1", "purchase", "iphone"),
("u1","purchase","ipad"),
("u2","purchase","nexus"),
("u2","purchase","galaxy"),
("u3","purchase","surface"),
("u4","purchase","iphone"),
("u4","purchase","galaxy"),
("u1","category-browse","phones"),
("u1","category-browse","electronics"),
("u1","category-browse","service"),
("u2","category-browse","accessories"),
("u2","category-browse","tablets"),
("u3","category-browse","accessories"),
("u3","category-browse","service"),
("u4","category-browse","phones"),
("u4","category-browse","tablets")) )
import org.apache.mahout.math.indexeddataset.{IndexedDataset, BiDictionary}
import org.apache.mahout.sparkbindings.indexeddataset.IndexedDatasetSpark
val purchasesIDS = IndexedDatasetSpark.apply(inputRDD.filter(_._2 == "purchase").map(o => (o._1, o._3)))(sc)
val browseIDS = IndexedDatasetSpark.apply(inputRDD.filter(_._2 == "category-browse").map(o => (o._1, o._3)))(sc)
import org.apache.mahout.math.cf.SimilarityAnalysis
val llrDrmList = SimilarityAnalysis.cooccurrencesIDSs(Array(purchasesIDS, browseIDS),
randomSeed = 1234,
maxInterestingItemsPerThing = 3,
maxNumInteractions = 4)
val llrAtA = llrDrmList(0).matrix.collect
IndexedDatasetSpark.apply( requires an RDD[(String, String)] where the first string is the 'row' (e.g. users), second string is the 'behavior' so for the 'buy matrix', the columns would be 'products', but this could also be a 'gender' matrix, with two columns (male/female)
Then you pass an array of IndexedDataSets to SimilarityAnalysis.cooccurrencesIDSs(

Country/region codes (iso-3166-1/iso-3166-2) to longitude and latitude

I need to convert from iso-3166-1/iso-3166-2 codes to longitude/latitude
Examples:
Input: "US", Output: (37.09024, -95.71289100000001).
Input "VE-O", Output: (10.9970723, -63.91132959999999).
I have been searching around but failed to find a complete listing or, ideally, a Java library doing it.
This Github project is promising but is missing a lot of geolocation information for a lot of regions.
Note that, unlike the question Need a list of all countries in the world, with a longitude and latitude coordinate, this one refers to regional subdivisions (iso-3166-2).

Since I didn't get any answers, I will explain how I solved it.
I found this csv listing for the iso-3166-1 country code centroids: http://dev.maxmind.com/geoip/legacy/codes/country_latlon/ (I had to make a few manual tweaks)
As for the iso-3166-2 region centroids, I ended up creating a shell script which uses the Google Maps API to print the region centroids in csv format (note that I didn't verify the full output but the cases I checked are correct). Here's a simplified version of the script using curl and jq to process the API's output:
#!/bin/bash
# Example list of regions (full list can be obtained from https://www.ip2location.com/free/iso3166-2 )
REGIONS="VE-O GB-BKM GB-CAM GB-CMA"
for REGION in $REGIONS; do
LATLON=$(curl -s "maps.googleapis.com/maps/api/geocode/json?sensor=false&address=$REGION" | jq -r '.results[0].geometry.location.lat,#text ",",.results[0].geometry.location.lng')
echo $REGION , $LATLON | tr -d ' '
done
Then I imported the csv listings in my java code using Apache Commons CSV

These are the best resources I found when I had to tackle this problem:
Country coordinates:
http://dev.maxmind.com/geoip/legacy/codes/country_latlon/
ISO 3166-2 coordinates:
https://github.com/oodavid/iso-3166-2/blob/master/iso_3166_2.js

How can i send an query from java to lpsolve as String

Hi i formulated a linear programing problem using java
and i want to send it to be solved by lpsolve without the need to create each constraint seperatlly.
i want to send the entire block (which if i insert it to the ide works well) and get a result
so basically instead of using something like
problem.strAddConstraint("", LpSolve.EQ, 9);
problem.strAddConstraint("", LpSolve.LE, 5);
i want to just send as one string
min: 0*x11 + 0*x12 + 0*x13
x11 + x12 + x13= 9;
x12 + x12<5;
can it be done if so how?

LpSolve supports LP files as well as MPS files. Everything is thoroughly detailed in the API documentation (see http://lpsolve.sourceforge.net/5.5/).
You can do your job like this in java :
lp = LpSolve.readLP("model.lp", NORMAL, "test model");
LpSolve.solve(lp)
What is sad with file based approaches is that you will not be able to use warm start features. I would not suggest you to use such approach if you want to optimize successive similar problems.
Cheers

How to write a Ruby-regex pattern in Java (includes recursive named-grouping)?

well... i have a file containing tintin-script. Now i already managed to grab all actions and substitutions from it to show them properly ordered on a website using Ruby, which helps me to keep an overview.
Example TINTIN-script
#substitution {You tell {([a-zA-Z,\-\ ]*)}, %*$}
{<279>[<269> $sysdate[1]<279>, <269>$systime<279> |<219> Tell <279>] <269>to <219>%2<279> : <219>%3}
{4}
#substitution {{([a-zA-Z,\-\ ]*)} tells you, %*$}
{<279>[<269> $sysdate[1]<279>, <269>$systime<279> |<119> Tell <279>] <269>from <119>%2<279> : <119>%3}
{2}
#action {Your muscles suddenly relax, and your nimbleness is gone.}
{
#if {$sw_keepaon}
{
aon;
};
} {5}
#action {xxxxx}
{
#if {$sw_keepfamiliar}
{
familiar $familiar;
};
} {5}
To grab them in my Ruby-App i read my script-file into a varibable 'input' and then use the following pattern to scan the 'input'
pattern = /(?<braces>{([^{}]|\g<braces>)*}){0}^#(?<type>action|substitution)\s*(?<b1>\g<braces>)\s*(?<b2>\g<braces>)\s*(?<b3>\g<braces>)/im
input = ""
File.open("/home/igambin/lmud/lmud.tt") { |file| input = file.read }
input.scan(pattern) { |prio, type, pattern, code|
## here i usually create objects, but for simplicity only output now
puts "Type : #{type}"
puts "Pattern : #{pattern}"
puts "Priority: #{prio}"
puts "Code :\n#{code}"
puts
}
Now my idea was to use the netbeans platform to write a module to not only keep an overview but also to assist editing the tintin script file. So opening the file in an Editor-Window I still need to parse the tintin-file and have all 'actions' and 'substitutions' from the file grabbed and displayed in an eTable, in wich I could dbl-click on one item to open a modification-window.
I've setup the module and got everything ready so far, i just can't figure out how to translate the ruby-regex pattern i've written to a working java-regex-pattern. It seems named-group-capturing and especially the recursive application of these groups is not supported in Java. Without that I seem to be unable to find a working solution...
Here's the ruby pattern again...
pattern = /(?<braces>{([^{}]|\g<braces>)*}){0}^#(?<type>action|substitution)\s*(?<b1>\g<braces>)\s*(?<b2>\g<braces>)\s*(?<b3>\g<braces>)/im
Can anyone help me to create a java pattern that matches the same?
Many thanks in advance for tips/hints/ideas and especially for solutions or (close-to-solution comments)!

Your text format seems pretty simple; it's possible you don't really need recursive matching. This Java-compatible regex matches your sample data correctly, as far as I can tell:
(?s)#(substitution|action)\s*\{(.*?)\}\s*\{(.*?)\}\s*\{(\d+)\}
Would that work for you? If you run Java 7, you can even name the groups. ;)

Can anyone help me to create a java pattern that matches the same?
No, no one can: Java's regex engine does not support recursive patterns (as Ruby 1.9 does).