Hi! I encounter a problem when importing an MLFlow model saved in a managed folder on Dataiku DSS. I use the following code: import dataiku client = dataiku.api_client() project = client.get_project("PROJECT_ID") # 1. Create DSS Saved Model saved_model = project.create_mlflow_pyfunc_model(name, prediction_type) # 2. Load…
Hello, when I am printing a dataframe before I save the output with write_dataframe() or write_schema_from_dataframe() and check the counts on the dataset object, it does not match. Why does it not match? If I run the code in the python recipe notebook, it prints out it wrote the correct amount of rows, but when I check on…
Hello, I have a problem in my Dataiku flow, I want to convert a number from raw to French format And in the output dataset, all the numerical variables are NaN. Can someone help me to fix the issue ? Best regards
Hi, I need to designate a new flow zone as the default and delete the existing default flow zone. I don't see any way to do this?
I am having difficulty in configuring the Standalone Evaluate Recipe It is not able to provide performance drift however i configure. The below is what i see It was also not clear on what a reference dataset is needed as it is optional and there is no mention of it here.
I have seen we can define at deployer node level for each infrastructure to automatically configure audit logging send events to a DSS Event Server. But In case of API Nodes I don't really get it, how we can identify events from a API service in general event server logs and dataset and what kind of interaction with our…
I want to turn ' AAAA 123 BBB CCCCC ' into 'AAAA 123 BBB CCCCC' I tried find and replace with this: (\s\s+) but it turns it to 'AAAA123BBBCCCCC'
Hi, when I wanted to train my model for K-Means, I've received the error below. It menions that OpenMP run time is not installed (libomp.dylib for Mac OSX). I am a beginner here so would appreciate some guidance. Muriel Failed to train : <class 'xgboost.core.XGBoostError'> : XGBoost Library (libxgboost.dylib) could not be…
Please help I am at my wits end tried multiple strategies through terminal. Installed XGBoost, Homebrew and Conda libraries. Updated Java. The AutoMl training cannot compile output for Random Forest and XGBoost Algo's. Error documented below. M3 Max Macbook Pro zsh : parse error near - In terminal when doing checks Error…
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