Oops: an unexpected error occurred Error in Python process: At line 28: <class 'dataikuapi.utils.DataikuException'>: com.dataiku.dip.transactions.git.TransactionGitException: Failed to commit to Git a previously scheduled commit, caused by: CodedIOException: Unable to commit transaction, caused by: JGitInternalException:…
I'm looking for tips/advice on how best to set up some user data collection as part of an application, and how it will interact with my flow/partitioning scheme. Here's the basic description of what is going on: I've built a notebook and accompanying recipe that performs a Monte Carlo simulation. I'm hoping to create an…
J'ai un dataset qui pointe sur un répertoire ou je peu avoir un ou plusieurs fichiers. J'ai crée un receip "Prepare" et "join". Comment puis je faire pour forcer dataiku à faire un traitement séparé par fichier ? Merci pour votre aide Dataiku version used: 11.4
I do not have much data, is about 4558 entries only. Why I have exceeded the memory limit ? How to resolve it ? Thanks. Dataiku version used: 14
Hi, my company recently added access to LLMs via Snowflake Cortex through Dataiku's LLM Mesh feature. When trying to generate structured JSON output (either in the UI via Prompt Studio or via the Python API according to the official documentation), I run into the following error: The Snowflake Cortex (SQL) completion API…
Hi Team, I have created a Webapp, but I wish to use it outside Dataiku and all the users of the WebApp do not have access to Dataiku. So, in Documentation I read about Public WebApp in Dataiku, but I am unable to follow the steps mentioned after clicking on Administration. Steps mentioned: . In order to make a webapp…
Is it possible to control the rate at which a prompt recipe issues requests? I ran my first one yesterday and very quickly hit the TPM rate cap on our OpenAI model deployment.
Dataiku version used: 14.6.0
Hi. I created a scenario that executes a python recipe and builds a dataset. I tried to exact jobId within the recipe using get_custom_variables.get("jobId"). However, the approach is unreliable, as the code returns a value and times and sometimes it doesn't. The scenario is run using a time-based trigger. Could someone…
Dataikuコミュニティの皆様、こんにちは。 現在、Jupyter Notebook（Pythonコードレシピ）で作成したカスタムのLightGBMモデルを、Dataikuの「Saved Model（保存済みモデル）」としてフローに登録し、ScoreレシピやEvaluateレシピと連携させようとしています。 予測時（推論時）のカテゴリ型のマッピングのズレ防止、および5つのFoldのアンサンブル（平均）予測を内包させるため、MLflowの mlflow.pyfunc.PythonModel を使用して以下のようなカスタムラッパークラスを実装しました。 1. 参考にしたドキュメント 公式チュートリアルの「Step 3: ML Deploy…
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