Highest Rated Posts

pschlunder

December 12

Re: Modeling Long- and Short-Term Temporal Patterns

Hi felix_w, look out for tomorrows update. Recurrent layer handling (and for now LSTM layers first) will be added to the extension. Then you'll be able to perform multivariate time-series forecasting with the DL ext. as well without having to rely on Keras. It will also include some sample processes. Btw: Also included will be an operator to load models trained in Keras and apply them in RapidMiner without having to install keras. Regards, Philipp

BalazsBarany

December 3

Re: New guy ... help interpreting data

Hi! The AUC is not best at describing the rate of survival. It is a performance measure for comparing models. It gives you an idea about the quality of your models. Imbalanced means that the two values of your label are not split 50:50 but more like 5:95. A simple model (maybe the decision tree) just tells you "Hey, everyone survives" and is 95 % right (because 95 % are actually surviving) but it's not a good model. You see this in the low AUC value. A good model actually works on distinguishing died and survived and will have a higher AUC. (Take a look at the different AUC curves.) You might get an even better model by e. g. downsampling the survived class. The most correct way is to do this inside the cross validation's training phase. It depends on what your goal is. If death is the most important class, and you'd like to have a higher recall of death cases from your model, you could weight these even higher. Then you'll get a model that makes more mistakes on survivors (predicting them as dead) but will catch most of the deaths. If your use case is analyzing possible reasons for deaths and avoiding them, this might be your way to achieve it. Regards, Balázs

pschlunder

August 14

A more native Deep Learning solution

Let me introduce you our new Deep Learning extension! At its core, this new extension focuses on bringing you a more RapidMiner-native Deep Learning experience. The initial release gets you started with ExamplesSets and explores textual data, running on CPU or GPU as you like.   With this new extension the entry hurdle of creating your first Deep Learning model is lower than before; there is no need of installing anything but the extension (download it here)! There is no need to set up input shapes! And there is no need for an extra operator to apply your model on ExampleSets! There are more VISUALS, more GUIDANCE, and more SPEED due to a java-based execution! More visual layer architecture, thanks to explanatory and individual icons per layer. Sample processes include guidance on different architectures, how to handle various data types, how to optimize networks, and learning how to use this operator: The new Deep Learning extension provides an updateable model. This feature allows to continue training further on. So if the training took a while and new data is present, just continue training with it instead of having to start all over again. A growing number of tutorial processes, including tips and tricks. To speed up things with big data sets, execution on GPU is also available. You'll find the switch in the general settings: Deep Learning techniques require numerical data, so conversion methods for text are needed. A first operator for text-to-numerical conversion is now included: The extension is powered by the open-source library DeepLearning4J (version 1.0.0-beta). Check out their website and github.   We're just getting started with this native integration, so stay tuned for more features and types of data being easily usable for Deep Learning in RapidMiner! Philipp  

Knut-RM

May 15

Importing Data in RapidMiner Studio

  Download the data here!   * Importing data and storing it within RapidMiner * Operators, Parameters and Connectors * Retrieve operator * ‘Attributes’ are Columns of the data and ‘Example Set’ are Rows of Data * Adjusting the layout * Creating new Repositories with sub-folders ‘Data’ & ‘Processes’ * Accessing Help & utilizing Tutorial Process

sgenzer

May 7

How to Post Questions on the RapidMiner User Community

Hi! Some simple, quick rules that we have here on how to post questions on the RapidMiner User Community: 1. SEARCH FIRST Please search the community before submitting a new idea. If your idea is already there, don’t be downhearted (great minds think alike     2. SHARE YOUR XML PROCESS by copying the full XML from the "XML" tab into your post using the </> code insert tool. Need help? Read this KB article to learn more.  Do NOT just copy and paste the operators from the Process canvas! 3. ADD TAGS AND LABELS These will help us categorize your suggestion.  4. INVITE OTHERS to comment on your suggestion with the @ handle (e.g. @sgenzer) 5. BE KIND , especially to newbies.  You were there once, too. 6. GIVE BACK next time by helping others.  This is how a community grows!  7. FINAL thought. If you actually read all these instructions, well done!  Send @sgenzer a PM saying "I read them to the end" and we will enter you into a monthly drawing for a free RapidMiner gift! Thank you and welcome! Scott

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Discussion List

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  New Question 2 views 0 comments 0 points Started by lionelderkrikor 7:38PM Help
• RM 9.1 feedback : Auto-model documentation

  New Question 2 views 0 comments 0 points Started by lionelderkrikor 7:06PM Help
• Hello,

  Responded But No Solution 13 views 1 comment 0 points Most recent by sgenzer 3:34PMHelp
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  Responded But No Solution 12 views 2 comments 0 points Most recent by kayman 3:31PMHelp
• Opening a process

  Solution Accepted 45 views 15 comments 0 points Most recent by sgenzer 3:14PMHelp
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  Responded But No Solution 32 views 4 comments 0 points Most recent by lionelderkrikor 1:45PMHelp
• Conducting a "Key Driver" analysis in RapidMiner

  Responded But No Solution 9 views 1 comment 0 points Most recent by lionelderkrikor 12:47PMHelp
• Modeling Long- and Short-Term Temporal Patterns

  Solution Accepted 65 views 8 comments 0 points Most recent by varunm1 12:03PMHelp
• Mandatory input in Extract Entities operator

  Solution Accepted 17 views 3 comments 0 points Most recent by myRM404414 11:42AMHelp
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  Responded But No Solution 13 views 1 comment 0 points Most recent by Knut-RM 10:44AMHelp
• Return numbers

  Solution Accepted 42 views 8 comments 0 points Most recent by hughesfleming68 10:24AMHelp
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  Responded But No Solution 26 views 2 comments 0 points Most recent by sgenzer 10:15AMHelp
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  Responded But No Solution 14 views 5 comments 1 point Most recent by ZahraBami 10:04AMHelp
• Polynominal by Binominal Label Error

  Solution Accepted 21 views 3 comments 0 points Most recent by Telcontar120 9:49AMHelp
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  New Question 31 views 2 comments 0 points Most recent by Alexandros_Tzekas51 8:01AMHelp
• write db operator

  New Question 10 views 0 comments 0 points Started by lghansse 6:15AM Help
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  Solution Accepted 47 views 4 comments 0 points Most recent by pix123 December 12Help
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  Responded But No Solution 24 views 4 comments 0 points Most recent by Telcontar120 December 12Help
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  Solution Accepted 24 views 4 comments 0 points Most recent by Telcontar120 December 12Help
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  Responded But No Solution 25 views 1 comment 0 points Most recent by Telcontar120 December 12Help
• About Structural Equation Modeling

  Responded But No Solution 21 views 1 comment 0 points Most recent by Telcontar120 December 12Help
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  Responded But No Solution 27 views 1 comment 0 points Most recent by Telcontar120 December 12Help
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  Responded But No Solution 13 views 1 comment 0 points Most recent by Telcontar120 December 12Help
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  Responded But No Solution 13 views 1 comment 0 points Most recent by Telcontar120 December 12Help
• Execute R beginner

  New Question 13 views 0 comments 0 points Started by figueroajc December 12 Help
• ¡Bienvenidos al foro de RapidMiner en Castellano!

  Responded But No Solution 30 views 5 comments 5 points Most recent by carlos_ramos December 12Help
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  Responded But No Solution 40 views 5 comments 0 points Most recent by roger_rutishaus December 12Help
• Classification trees with chaid and cart algorithm

  Solution Accepted 47 views 5 comments 0 points Most recent by ZahraBami December 12Help
• Filter Tokens by Content (more than one expression)

  Responded But No Solution 92 views 16 comments 0 points Most recent by rajbanokhan December 12Help
• Learning decay in new Deep Learning (Beta Module)

  Responded But No Solution 19 views 2 comments 0 points Most recent by pschlunder December 12Help