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File '/data/dss-data/saved_models/xxxxxx/ASB22I5z/versions/17235340x1xxx/user_meta.json' does not
I get this error while using saved ml model. I build my own data to predict (same variables as train) and when I use predict recipe I can't run : I get error
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Splitting dataset into groups and process each group seperately
I'm new to dataiku and any help would be appreciated, I have a scenario where I have to send mail to sales representative which contains questions asked by its associated client (customer that he manages) eg Input SR_Mail | Client_name | Question | — - - - - - - - - - - - - - - - - - abc@def.com | SBC | ABCD ? |…
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Connect to Oracle NetSuite
Hello, team. A client tells me that his data is hosted on Oracle NetSuite. When he wants to view them, he installs the NeuSuite odbc driver on his Windows machine where he only enters the host, port, and service name. Subsequently, to display information in tables, it uses SQL Server with Link Server where he enters again…
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Type after Python recipe
Hello all, I've an issue in DSS. A dataset where i've forced the type in setting, schema is an input of a python recipe. I try with different proposition of the developper guide but i'm lost because each time i've an error. I forced the type of column "MASTER-ID" who is the ref of the object in int. At this first level…
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モデルのトレーニングが失敗する
Mac OSでインストールしたDataikuを利用しています。 モデルをトレーニングしたところ以下エラーが出ます。 エラーに従ってインストールが必要なのでしょうか? Failed to train : <class 'xgboost.core.XGBoostError'> : XGBoost Library (libxgboost.dylib) could not be loaded. Likely causes: * OpenMP runtime is not installed - vcomp140.dll or libgomp-1.dll for Windows - libomp.dylib for Mac OSX -…
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Creating new features through python API in visual analysis
I am trying to build models through Dataiku's Python API. I want to deploy the model as an API endpoint. I want to add some additional feature creation steps in the visual analysis to pass raw data to the endpoint, as given below in the Dataiku Documentation. I want to know if it's possible to create preprocessing steps…
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How can I write a Pandas dataframe in a Database in SQL Server connection?
Suppose I have a Pandas DF and I want to create a new table in a SQL Server connection with all the data in the DF. For Snowflake, I use the DkuSnowpark module and write_with_schema, but I couldn't find something similar for SQL Server. I tried using SQL Alchemy but I got driver error, but couldn't find another way.
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Excel Refresh Automation
I want to create a scenario to refresh workbook once a day but as I understand Dataiku is typically used in cloud or server environments where direct interactions with local applications like Microsoft Excel through COM (Component Object Model) objects are not supported. How can I run this python script in Dataiku?
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Problem with loading large files
I try to upload datasets from my location to dataiku but it only allows me to upload data smaller than 1 GB in weight. I have tried several types but it has not been possible since it generates an error when loading the information. I don't know if this is directly due to the instance or the license I have.
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Saving a 'styler' type object to a managed folder?
Hi, I am trying to save a pandas styler object as an HTML ( ref: pandas.io.formats.style.Styler.to_html — pandas 2.2.2 documentation (pydata.org) ) in Dataiku Managed folder (HDFS not local). Can you help me with that? My dataframe styler name: df folder handler: folder Code to save to a managed folder: region_monitor_path…