Hi everyone, I'm facing an issue while writing a CSV file to S3 using a Sync Recipe in Dataiku. Even though the dataset looks correct inside Dataiku, when it gets saved to S3, all the data appears in one single column instead of being properly separated into multiple columns. I checked the dataset schema, and everything…
I have a scenario that builds and exports a Dashboard and survived several Dataiku version upgrades until now. When the scenario runs I have a Reporter that exports the Dashboard into a PDFs and sends an email. Since the upgrade to 12.6.7, that Reporter fails to run and I get the following message "Domain contains control…
Hi all, dataiku novice here. I have trained models in python notebooks with mlflow, then I deployed a model to the flow(from experiment tracking) in order to score & evaluate it. I have 50 features, and when I input the feature table with 50 columns into the scoring recipe, everything is fine and i get my predictions. The…
BNB quantization is not mentionned in Running Hugging Face models — Dataiku DSS 13 documentation. For instance unsloth/Llama-3.3-70B-Instruct-bnb-4bit · Hugging Face. What 4-bit quantized model do you recommand for Llama 3.3 otherwise?
I am getting the following error on a standard prepare recipe in the post-activity checks "Activity checks produced 1 error." The screenshot is the end of the activity log and no other details are given on what error was produced: This is using dataiku to write to a Greenplum database. I am wondering where else I could…
Hi, I have a "Invoice date" column in my source file which has values like "1/18/24 1:00". and I want it to change it as "2024-01-18" Additionally, Dataiku is identifying this column as Text/String. How can I change it to the format mentioned above.
I'm creating a python function endpoint with this script: And I don't know how to deal with this error: Dev server deployment FAILED Failed to initiate function server : <class 'Exception'> : Default project key is not specified (no DKU_CURRENT_PROJECT_KEY in env)
I was told that it was possible to turn a custom trained model, typically stored in a managed folder, into a visual model object in the flow. Currently our flow looks like this: but we would like to see something like this in the flow: I couldn’t find any documentation on how to do this, so I’m turning to the Dataiku…
Dear Dataiku Team, Thank you for all your good work with Dataiku environment - we are looking forward to using new functionality with Dataiku 7! We are now experimenting with builidng API connections in between nodes - I was able to establish the connection using the code from here: import dataikuapihost =…
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