knime_​r_​environment_​windows

Propagate a curated R environment "knime_r_environment" for KNIME with the latest stable R release (4.1.2) and several important packages.
Like for example: h2o, ggplot2, dplyr, arrow, XGBoost, mlr3, Caret

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


(official) KNIME Python Integration Guide
https://docs.knime.com/latest/python_installation_guide/index.html#_introduction

Meta Collection about KNIME and Python
https://hub.knime.com/mlauber71/spaces/Public/latest/_knime_and_python_meta_collection~AvjrddXKOIoZYLV3

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(official) KNIME Interactive R Statistics Integration Installation Guide
https://docs.knime.com/latest/r_installation_guide/index.html#_introduction

A meta collection and article about R and KNIME
https://hub.knime.com/mlauber71/spaces/Public/latest/_r_installation_on_knime_collection~tj5tS_6gYvqOSPlk

Options

handle R the Conda environment "knime_r_environment"

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