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How to retrieve the test dataset used in the trained model With python?
Hello everyone, I am working on Dataiku, primarily using their API. I have trained my model and would like to retrieve the dataset that was used for testing via the API methods. Despite trying several methods, including get_train_info(), I am unable to obtain the test dataset. I don't want to export it; I just want to…
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<class 'json.decoder.JSONDecodeError'> when evaluating a deployed Random Forest model
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 - Lab - AutoML Prediction - Quick Prototype - Train a Random Forest model on "target", using default settings. Deploy the…
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Using sample.py after export model python
Hello, I’m trying to use the sample.py after unzipping the archive of a model I extracted. The model is a light gbm with a feature selection step. The version of the dss is 12.6.5 However the python script crash after the dummifier step with the error : Indexed_matrix.py Line 35 in _ remap _ key Remapped_key = (key[0],…
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Support fot 2way partial dependence plots
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 feature behavior in the model at hand. See here under 4.1.1 for the sklearn implementation 4.1. Partial Dependence and…
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My RAG chat application is not finding the correct embedded chunks when responding to a chat query?
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Auto-generated visual recipe concept
Problem Statement: Right now, there are great, no-code visual recipes in DSS for select, common machine learning algorithms and data wrangling tools. In other cases, code recipes are required and users repeatedly have to both code the algorithms and add the same lines of code wrappers in DSS code recipes to map to datasets…
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How to save a keras model from a python recipe in a folder ?
I would like to save a keras model in a folder. I can not figure out how to save the weights of my models because I do not find the correct filepath. The needed code to achieve this goal is : model.save_weights(filepath) Even with this syntax : path = str(trained_LSTM_info['accessInfo']['root'])…
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Switching off particular features for a particular partition in partitioned model
While developing the partitioned model, the features selected are common to all the partitioned models. Is it possible to select market-specific features while developing partitioned models? for e.g. , I'm developing a partitioned model at a market level. Certain features applicable to the "California" market need not be…
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Multi-label model support for image classification
It would be great to have the option for multi-label problems in VisualML image classification. In this use case the target is usually an array of one hot encoded classes and an image can belong to one or more classes. An image can be classified not as a single class (the class with the highest probability), but as…
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Method to re-order V12 Visual ML override rules
User Story: As a user of V12 Override rules. I'd like a way to drag the order of the rules rather than having to delete and recreate rules if I need to change the orders. Notes: * I was not able to see this feature in the override rule screen.