conda_​environment_​kaggle_​windows

Propagate a curated Python environment "kaggle" for KNIME with several important packages.
Like for example: h2o, arrow, XGBoost

# update the base conda environment
conda update -n base -c conda-forge conda

conda update -n kaggle --all

conda install -c h2oai h2o
conda install -c conda-forge xgboost
conda install -c conda-forge jupyterlab

# list packages in the enironment
conda list -n kaggle

# remove a single package
conda remove -n kaggle jupyterlab_execute_time

You will need a working Miniforge (or Anaconda) environment set up to be used in KNIME

https://github.com/conda-forge/miniforge#download

https://docs.knime.com/latest/python_installation_guide/index.html#_introduction
https://docs.conda.io/en/latest/miniconda.html
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

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KNIME official Python integration guide
https://docs.knime.com/latest/python_installation_guide/index.html#_introduction

KNIME and Python — Setting up and managing Conda environments
https://medium.com/low-code-for-advanced-data-science/knime-and-python-setting-up-and-managing-conda-environments-2ac217792539

How to Set Up Your Python Extensions
https://www.knime.com/blog/how-to-setup-the-python-extension

Options

handle the Conda environment "kaggle"

how to handle your conda environment%%00010name = just check the names of packages name%%00010name_packages = also check the versions of packages%%00010overwrite = !!! always overwrite the "knime_r_environment" environment

Nodes

• Component Input1 ×
• Component Output1 ×
• Conda Environment Propagation1 ×
• Single Selection Configuration1 ×

Extensions

• FeatureKNIME Conda Integration
• FeatureKNIME Quick Forms

Links

• No links available