âģī¸Code generation
Instruction on how to use the code generation feature.
Last updated
Instruction on how to use the code generation feature.
Last updated
The code generation feature in the learning module allows users to generate Python code for their experiments with a simple click. This feature enables users to make in-depth changes to the experiment code, share it with other computer scientists, and navigate seamlessly between the user interface and the code base.
After running one or multiple experiment pipelines, follow the instructions below to generate the code for a given pipeline.
Open the results panel:
Click the Generate button to select your pipelines for code generation:
Select the pipelines
Click generation:
Consequently, a juypter notebook will automatically open with the generated code:
In most cases, you need to select the appropriate kernel before running the Jupyter notebook. Follow the instructions below to do so.
Click kernel
Change kernel
Select: med_conda_env
The selected kernel's name must appear on the top right
If med_conda_env kernel is missing from your kernel's list. Follow the instructions below to add it.
Add your med_conda_env to your kernel's list by running the following two commands:
Please feel free to contact us if you need any further assistance .
