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CORE DESIGNER
hello community dataiku, i need your help, i don't get the number of row '985' rows like they say in note. i changed the storate type of year from string to int so i can add the postfilter year on my join recipe. the i started to create a left join between CO2_and Oil dataset and meat_and_eggs dataset with key join( code,…
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Kernel dies with Convolutions on GPU
I am running into a kernel panic each time I try a convolution on GPU. The environment seems set correctly, GPU is available, and simple transformations run both on GPU and CPU. Convolutions run in CPU, and in GPU are killing the kernel (see image attached). I can't find any useful error message. How to throubleshot?…
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Import a PDF file
I am trying to import a PDF file to read data and checking this tutorial:Tutorial | Managed folders - Dataiku Knowledge Base. But I meet a new problem: I don't have admin permission to create or edit python env. to install the package. Is there any way to install the package only in my project?
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Clustering datasets having both numerical and categorical variables
Hello World! I would like to know if there is a way to directly perform Clustering while having both numerical and categorical variables in Dataiku DSS? Thank you!
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How to delete logs of metrics and checks
Is there a way to delete logs of metrics and checks? Issue: Even if we don't use certain metric and delete it in Dataiku, the logs of that metric still exists in Dataiku instance.
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What if analysis within Visual analyses Lab
I'm running into "External code failed" error when I try to run a What If? analysis within the Visual Analyses. Operating system used: Linux
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Week number from day number
We consider that we have a table that contains a column "Day". In this table we have values like "21", "10", "16", .... anyvalue that could correspond to a regular day number from a date. Starting from this, is there ay formula that could return me the week number of the year corresponding to this day number (for this…
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Spark Performance warning: Input dataset is read in a non-distributed way
I Setting up the Spark using K8s but I'm facing the Performance warning: Input dataset is read in a non-distributed way and this make the queries taking so much time attached a screenshot need your support to avoid the problem
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Folder access error in API endpoint
In the API endpoint script, I get an error when trying to access a folder which is placed in the resources of my environment, it's a sentence transformer model which I need to access. Can someone please suggest?
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Got the error "API Key not provided" when call to python API endpoint
I have created a python function API endpoint in API designer, when I run the test query, it works well. After that, I created an API key for this API service, but when I call the public API endpoint via Postman (i found the guide here: https://doc.dataiku.com/dss/latest/apinode/first-service-apideployer.html) : URL:…
