Plugins & Extending Dataiku
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Can the hyper-parameter change for each new training model with each new dataset
Dear dataikuler thanks for reading my question. Hi, so my problem is when i re-train my model with different dataset (like my first dataset is from 12/10 /2024 to 12/10/2025 and my second dataset is 30/11/2024 to 30/11/2025) and then i deploy the second model i check the hyperparameter of each version and i see all of them…
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Plugin development to manage different files in a managed folder based on user-defined mapping.
We are trying to develop a plugin which should be able to read `n` number of files from a managed folder and put `m` number of files back to same or different managed folder, here `n` is not equals to `m`. To achieve that we have created a project and exported that as a plugin. But the issue is our flow is starting with…
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dataiku plugin development
Problem statement : In dataiku Plugin , If I click add button it gives input field (parquet file details - source link, column names..) this will trigger automatically modify recipe.json & run recipe.py. Simply - add details in UI form and details be permanent until modified. That should make change in recipe.json . Right…
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Dataset Component(Connector) in Custom Plugin in Dataiku
I have added the Dataset component in the plugin in Dataiku. It fetches the data using the python api for the last 30 minutes from a third-party application. Idea is to add this Dataset in the flow and refer to it from Plotly Visualisation in Dash type of Code WebApp and Visualisation should always show the latest data…
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Setting scenario trigger through Python API
I am using the Python REST API to create scenarios in Dataiku. This has all been successful however I am now trying to include trigger information in the create_scenario call. If I use 'Daily' as the frequency and provide it an hour and minute in the JSON it works fine. However, I am unsure how to schedule other types of…
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Plugin: Julia | Dataiku
Hi, I had installed the plugin in DataIku to create and execute Julia recipes the same way you would use any other code recipes. It makes that a Julia kernel also becomes available for Jupyter notebooks. I am using the Dataiku dataset reading package, where it doesn't seem to recognize entered datasets. The code used is:…
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How can I build a dataset incrementaly using a plugin?
I've written a plugin that connects to an API. This plugin is based on the RaaS example provided here : I provide an argument in the corresponding box, click on "Test and get schema", then the dataset is filled with the data from the API. How can I do this automatically (using a scenario, for instance), in order to connect…
