Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.

Deep learning Extension (DL4J): Bug Report

varunm1varunm1 Member Posts: 1,207 Unicorn
edited September 2019 in Product Feedback - Resolved
Hello,

The deep learning extension in rapidminer cannot predict label when a single sample is provided as a test file, it looks like the apply model in case of Deep learning extension needs a minimum of 2 samples. This looks like a bug.

I attached the .rmp file for process that throws a bug in this post. Below are the images related to this issue I cross-checked with @lionelderkrikor. It is evident that keras in python is able to predict on a single sample based on below images. @lionelderkrikor also tried the keras extension in rapidminer and observed that it cannot make a prediction on a single sample as well as shown below.

DL4J extension bug:


Keras Extension in Rapidminer @lionelderkrikor produced output.



Keras Extension in python by @lionelderkrikor :


Thanks for looking into this. @ssv112 here is the issue we faced when we worked on your question.

@pschlunder can you please look into this.

Thanks
Regards,
Varun
https://www.varunmandalapu.com/

Be Safe. Follow precautions and Maintain Social Distancing

0
0 votes

Fixed and Released · Last Updated

Engineering believes this is fixed with version 0.9.3 of the Deep Learning extension. Please start a new discussion if there are more problems. DLE-63

Comments

  • pschlunderpschlunder Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, RMResearcher, Member Posts: 96 RM Research
    thanks for pointing this out! This should not be the case. I'll look into it.
Sign In or Register to comment.