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Re : Yes, I found the

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In reply to Bash mode Ubuntu:

Re :

Yes, I found the solution to run KNIME Workflow with Ubuntu, so I can't run the command knime, I have to run like that :/home/myname/knime-full_3.3.0/knime -consoleLog -nosplash -application org.knime.product.KNIME_BATCH_APPLICATION​

 

but now, I have this error :

!SESSION 2017-03-09 16:23:11.217 -----------------------------------------------
eclipse.buildId=unknown
java.version=1.8.0_60
java.vendor=Oracle Corporation
BootLoader constants: OS=linux, ARCH=x86_64, WS=gtk, NL=fr_CH
Framework arguments:  -application org.knime.product.KNIME_BATCH_APPLICATION​
Command-line arguments:  -os linux -ws gtk -arch x86_64 -consoleLog -application org.knime.product.KNIME_BATCH_APPLICATION​

!ENTRY org.eclipse.osgi 4 0 2017-03-09 16:23:12.041
!MESSAGE Application error
!STACK 1
java.lang.RuntimeException: Application "org.knime.product.KNIME_BATCH_APPLICATION​" could not be found in the registry. The applications available are: org.eclipse.ant.core.antRunner, org.eclipse.e4.ui.workbench.swt.E4Application,

.............
Could you help me ? Please ....

Thierry Crettol


Hi Moran, my apologies for

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In reply to Simultaneous Table Reading from Hive:

Hi Moran,

my apologies for the late reply. This is a known issue with the Hive JDBC driver, which cannot handle parallel queries over the same connection.

As a workaround you could make two Hive Connector nodes with similar but not identical settings (hostname, JDBC parameters, user). The reason is that we cache JDBC connections over hostname+JDBC Parameters+user. However if you have Hive Connectors that differ in any of these three settings, they will be using different connections. You could try adding a JDBC parameter in one of the Hive Connectors and set it to its default value.

The Hive JDBC parameters are described here:

https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients#Hiv...

For example could try setting transportMode=cliservice in on of the Hive Connectors.

 

Best,

Björn

Careful with your choice of

Thank you very much for your

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In reply to Churn Prediction Modeling:

Thank you very much for your detailed response Vincenzo.  This has been tremendously helpful in developing my Predictive Churn model. Would you have time to discuss where I am at currently and any advice you would have to take it to the next level?

Thanks!

Steven

Thank you all the same! I

Hi, got the same question

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In reply to Clustering of molecules:

Hi,

got the same question here. I'm new to knime and want to cluster the molecules. I'm reading in smiles using line reader from a text file, and it worked. but when I tried running the RDkit from Molecule, it says 'No column in spec compatible to "SmilesValue""SmartsValue" or "SdfValue".' How can I solve it? Thanks!

Hi, You need to be sure that

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In reply to Clustering of molecules:

Hi,

You need to be sure that the column coming from the File Reader is marked as a SMILES line.

There are two easy ways to do this:

  1. Change the type directly in the File Reader node by clicking on the column header and setting the type to SMILES
  2. Using the Molecule Type Cast node to convert the column to type SMILES after the table has already been read in.

After you do this the RDKit nodes should work without problems.

Note that you don't need a Molecule to RDKit node in order to generate molecular fingerprints for clustering. The RDKit Fingerprinter node can also directly process SMILES (or SDF) columns.

-greg

 

Hi P, thanks for sharing this


You can always resize the

horizontally yes, but

Hi, I reinstall ubuntu and

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In reply to Bash mode Ubuntu:

Hi,

I reinstall ubuntu and knime and now, the problem is resolved.

I don't know what was the problem.

See you.

Thierry Crettol

Hi Caterina, Thank you for

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In reply to ImageJ1 Macro node:

Hi Caterina,
Thank you for your interest in KNIP and the ImageJ integration. I hope I can help you with the following:

1) The available macros where selected from the macros available in IJ1
   by only including ones that are non-interactive macros that do not require user input.
   The pre-selected plugins are just snippets that make using these macros
   easier, you can use others as well, see  3).

2) Many of the macro functionality is now available directly in KNIP. Either as
   dedicated nodes or via the ImageJ2 integration. In the future we plan to have
   all features available there.

3) You can already execute arbitrary IJ1 macro code with this node, provided it does not
use interactive functionality (the script is headless). To do this follow these steps:

  1.     Add a IJ1 Macro node to your workflow
  2.     Open the node and select the "pure code" macro and add it with the "+" button
  3.     Paste your macro code into the text field on the right
  4.     Now your macro is run for each image in the input table

Additionally you can point KNIME to your FIJI installation to make use of the
many plugins that are included in it (provided they are headless). I have
attached a screenshot that shows the relevant settings page.

If you have any other questions regarding the ImageJ integration or trouble with the execution of your plugins, feel free to ask again.

Best,

Gabriel Einsdorf

Hi all, In case anyone else

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In reply to Creating flow variables with an R Snippet:

Hi all,

In case anyone else runs into this, I was able to find the solution.  I had to upgrade to KNIME 3.2 (apparently there was a bug in 3.1 that prevented this from working) and now I am able to create flow variables using an R snippet. Thanks again to all those who replied earlier

Hi, I tried to modify the

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In reply to Sentiment Classification using Word Vectors Sample - Question:

Hi,

I tried to modify the workflow   08_Sentiment_Classification_Using_Word_Vectors   in order to apply the word vector to new Test data. But I don't understand why the algorithm classify everything wrong.

Please find attached the workflow. What am I missing? What is wrong?

Could you help me please?

If I'm not wrong, I think we


Thanks greg! It works! 

You can wrap it into a meta

Hi Andrea, please find

Thanks Roland. I found some

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In reply to Forecasting next "x" amount of days:

Thanks Roland. I found some similar posts that mentioneed using ARIMA as well that were helpful. I managed to add those to my workflow. I forecasted 31 days out, but when I've tried forecasting more than that I seem to get the same value for every time after that which seemed odd. I thought I would continue to see some variation of values based on the data. Am I missing something here?

Hi, the "Compatibility"

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In reply to Compatibility with HDP 2.5:

Hi,

the "Compatibility" section is a bit conservative since it only states the HDP versions for which KNIME Big Data Connectors have been certified by Hortonworks. Our goal is to recertify for the new and upcoming versions of HDP. For this we will update the included open-source Hive JDBC drivers to the newest version.

The ones we currently include are a little outdated but should still work for Hive 1.2.1 which is part of HDP 2.5. You can also get newer open-source drivers and download them from here (use one of the -standalone jars):

http://repo.hortonworks.com/content/repositories/releases/org/apache/hiv...

Currently,  version 1.2.1000.2.5.3.36-1 is the newest driver version for Hive 1.2.1 on HDP 2.5. Adding JDBC drivers to KNIME can be done under File > Preferences > KNIME > Databases.

Also, in the near term we will update our Hive Connector node to detect the presence of the new proprietary Hive JDBC driver that Hortonworks offers for download under https://hortonworks.com/downloads/#addons in the section  called "Hortonworks JDBC Driver for Apache Hive" (use the JDBC 4.1 link). These are proprietary drivers which we unfortunately cannot ship with KNIME. These will work with Hive Connector in  about 2-3 weeks.

Best,

Björn

 

 

 

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