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 s…
How to replicate: Using windows10, download the latest Dataiku DSS on-premise version (13.2.3). Create a New project, upload any dataset with a "target" column having binary value. Click the dataset -…
Greetings, While working with the embedding recipe, we faced a limitation where we have two datasets, we want to apply the rag on, how can we apply the knowledge bank on them specifically? Regards
I have a couple of use cases where I need to train image (instance) segmentation models (as opposed to predicting bounding boxes in object detection). I'd love for the ML labelling to support image se…
I'd love to see support for 2way partial dependence plots in mode summary reports to get insights into the interaction of 2 features on their model impact. This would give some deeper insight into fea…
Dataiku's category handling = Dummy encoding with dropping dummy option seems to be using a level with the least exposure/volume as a dummy. Q1. Is there a way to set this dummy manually instead of Da…
Hey there, so I am having trouble training new models on an existing project, if I either update an existing recipe or deploy the newly trained model in a new visual tool in the flow whenever I try to…
I am trying to install pytorch in python3 in a code environment in data science studio. I can install it in the python3.5 install on the system that Data Science Studio is installed on. I've tried put…
I am trying to load a pickle file of a pre-trained model to my code recipe but get the following error message: I have already selected the "ai-exec-t4-gpu" in the "Containerized Execution" tab of the…
Hi, I have pre-trained model on my local machine that I would like to use in a recipe. One model is trained using the alibi-detect library and the other one is the popular SAM model. Appreciate any ti…
