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From Steel to Timber - Discover What's Next for AEC

Altair will host our first global ATCx AEC, a one-day virtual event dedicated to transforming the architecture, engineering, and construction (AEC) sector on Wednesday, April 30, 2025.

Following the main session, engage with industry leaders in the Structural Timber Design Track to explore the progressive role of timber in contemporary construction, gaining insights into mass timber applications, hybrid structures, and innovations driven by sustainability.

Featured Presentations: 

  • State-of-the-art Research at FPInnovations: Advancing Wood Use in Sustainable Construction | Dr. Zhiyong Chen I Senior Scientist, FPInnovations 
  • Industry Presentation: Cast Connex | Jennifer Pazdon I Vice President, USA and Director, UK Division, Cast Connex 
  • Workshop and Live Q&A - Hybrid Structural Analysis and Design in Altair® S-TIMBER™ | Moein Ahmadipour I Senior Product Manager AEC, Altair 

Save your spot – Register today!  

Re: The type of attribute is Chinese text, how to segment attribute value for word cloud analysis

Hi @ners,
For Chinese Mandarin text mining, there is an extension to the marketplace called HanMiner.

Best, 

Cesar

Re: Column flagged

Hi!

This means exactly what it says. If the attribute "race" (meaning groups of persons, not sport events) is built into a model, that could be used for discrimination against people.

Similar warnings exist for attributes named like Gender, Age etc. 

This is just a message to the user. RapidMiner will process the data normally. 

Regards,
Balázs

Altair RapidMiner AI Studio competition: Solar Panel Power Generation Forecast

Join us for a fun competition using Altair RapidMiner AI Studio. The task is to create a model predicting the amount of solar power energy which will be generated one day in advance based on the Weather forecast. Participants will be competing for a ranking based on the prediction error between the predicted value and the actual measured value.

This competition is hosted by Altair's long time Japanese partner KSK Analytics on the Kaggle community. You must verify your account in Kaggle to participate. All the details for the competition can be found here.

The competition is open until March 31, 2024 and there will be recognition and prizes for the highest ranking participants. 

Participate Now

"Xpath - extract text from unordered list (ul)"

Hi All,

I want to extract all list items (li) from an unordered list (ul) by xpath query.
The website is: http://ec.europa.eu/sanco_pesticides/public/index.cfm?event=substance.info&;id=53 ; I have to extract the content below the footnotes.
With the following xpath queries I always get only the first list item ("(R) = The residue definition differs for..."):
- //h:div[@class='col60']/h:ul/text()
or
- //h:div[@class='col60']/h:ul/descendant::*/text()

Does anyone has an idea how I can get the whole list?

Thanks a lot in advance!

Re: Operator Crawl: Process failed

Hi all,

I get exactly the same error message with version 10.2. (works with version 9.x)
May be there is something missing in the Java bundle ??

Any hint is appreciated.

Regards, Günther

The .rpm is as follows:

<?xml version="1.0" encoding="UTF-8"?><process version="10.2.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="10.2.000" expanded="true" name="Process">
    <parameter key="logverbosity" value="init"/>
    <parameter key="random_seed" value="2001"/>
    <parameter key="send_mail" value="never"/>
    <parameter key="notification_email" value=""/>
    <parameter key="process_duration_for_mail" value="30"/>
    <parameter key="encoding" value="UTF-8"/>
    <process expanded="true">
      <operator activated="true" class="web:crawl_web_modern" compatibility="10.0.000" expanded="true" height="68" name="Crawl Web" width="90" x="179" y="34">
        <parameter key="url" value="https://osa.fh-potsdam.de"/>
        <list key="crawling_rules"/>
        <parameter key="max_crawl_depth" value="1"/>
        <parameter key="retrieve_as_html" value="true"/>
        <parameter key="enable_basic_auth" value="false"/>
        <parameter key="add_content_as_attribute" value="false"/>
        <parameter key="write_pages_to_disk" value="true"/>
        <parameter key="include_binary_content" value="true"/>
        <parameter key="output_dir" value="E:/_tmp"/>
        <parameter key="output_file_extension" value="html"/>
        <parameter key="max_pages" value="10"/>
        <parameter key="max_page_size" value="1000"/>
        <parameter key="delay" value="200"/>
        <parameter key="max_concurrent_connections" value="100"/>
        <parameter key="max_connections_per_host" value="50"/>
        <parameter key="user_agent" value="rapidminer-web-mining-extension-crawler"/>
        <parameter key="ignore_robot_exclusion" value="false"/>
      </operator>
      <connect from_op="Crawl Web" from_port="example set" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="0"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>


gnehergneher

Operator Crawl: Process failed

Hi,
I have installed the lastest version 10.1.001 and I have a problem with the operator Crwal.
The process fail and here the error message.
I have checked the version of Java and the version is 1.8.0_361

  • Exception: java.lang.NoClassDefFoundError
  • Message: org/apache/tika/parser/html/HtmlParser
  • Stack trace:
  • edu.uci.ics.crawler4j.parser.TikaHtmlParser.(TikaHtmlParser.java:34)
  • edu.uci.ics.crawler4j.parser.Parser.(Parser.java:42)
  • edu.uci.ics.crawler4j.crawler.CrawlController.(CrawlController.java:85)
  • com.rapidminer.operator.web.crawler.CrawlerOperator.doWork(CrawlerOperator.java:269)
  • com.rapidminer.operator.Operator.execute(Operator.java:1024)
  • com.rapidminer.operator.execution.SimpleUnitExecutor.execute(SimpleUnitExecutor.java:77)
  • com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:804)
  • com.rapidminer.operator.ExecutionUnit$2.run(ExecutionUnit.java:799)
  • java.base/java.security.AccessController.doPrivileged(Native Method)
  • com.rapidminer.operator.ExecutionUnit.execute(ExecutionUnit.java:799)
  • com.rapidminer.operator.OperatorChain.doWork(OperatorChain.java:423)
  • com.rapidminer.operator.Operator.execute(Operator.java:1024)
  • com.rapidminer.Process.executeRoot(Process.java:1476)
  • com.rapidminer.Process.lambda$executeRootInPool$5(Process.java:1452)
  • com.rapidminer.studio.concurrency.internal.AbstractConcurrencyContext$AdaptedCallable.exec(AbstractConcurrencyContext.java:362)
  • java.base/java.util.concurrent.ForkJoinTask.doExec(Unknown Source)
  • java.base/java.util.concurrent.ForkJoinPool$WorkQueue.topLevelExec(Unknown Source)
  • java.base/java.util.concurrent.ForkJoinPool.scan(Unknown Source)
  • java.base/java.util.concurrent.ForkJoinPool.runWorker(Unknown Source)
  • java.base/java.util.concurrent.ForkJoinWorkerThread.run(Unknown Source)
Could you help me to solve the problem?
Thanks
domodomo

Re: The attribute A) was already present in the example set.

Hi @akos_banar,

I think it is a known bug:  the root cause is the parenthesis in the attribute name.
Please remove this parenthesis in the attribute(s) name before submitting your data to AutoModel.

Hope this helps,

Regards,

Lionel 

Re: Time Series Prediction (Forecast into the Future)

Hi @timothy_rij!

Time series forecasting processes are done differently from the usual classification or regression methods. 

There's an entire course in the Academy about forecasting:
https://academy.rapidminer.com/courses/time-series-analytics

Please check this out. 

Your process does a windowing for 7 days. This builds a model that can only predict the next day's value given the last 7 values. This could be extended in theory to learn a model from the last 200 days, with days -200 to -101 being the input attributes and days -100 to -1 the labels. These models could be applied to current data in a rolling manner. But this is cumbersome and you won't get good results from these models in the stock market setting, as stock prices depend on more factors than just the past values. 

Regards,
Balázs

Model deployments for RapidMiner Studio 10

Hi,

I am new to RapidMiner products. I have gone through the tutorials to build predictive models in RapidMiner Studio 10. I want to use the best model to make predictions on a new dataset. I thought I need to deploy the model. But in RapidMiner Studio 10, not like in RapidMiner Studio 9, there is no Deployments tab (view). Could someone direct me on how to deploy the model and use it to make predictions in RapidMiner Studio 10? 

Thanks,

xc
chenxchenx