# conda env create -f="/Users/m_lauber/Dropbox/knime-workspace-50/Machine_Learning/ml_regression/Regression - House Prices - Advanced Techniques including H2O.ai and Vtreat/data/py3_knime_lightgbm.yml"

# conda env create -f="C:\\Users\\%USERNAME%\\knime-workspace-5\\Machine_Learning\\Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization\\data\\py3_knime_lightgbm.yml"

# conda activate py3_knime_lightgbm

# conda update -n py3_knime_lightgbm --all

# conda env update --name py3_knime_lightgbm --file "/Users/m_lauber/Dropbox/knime-workspace-50/Machine_Learning/ml_regression/Regression - House Prices - Advanced Techniques including H2O.ai and Vtreat/data/py3_knime_lightgbm.yml" --prune

# conda env update --name py3_knime_lightgbm --file "C:\\Users\\%USERNAME%\\knime-workspace-5\\Machine_Learning\\Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization\\data\\py3_knime_lightgbm.yml" --prune

# conda env update --name py3_knime_lightgbm --file "/Users/m_lauber/Dropbox/knime-workspace-50/Machine_Learning/ml_regression/Regression - House Prices - Advanced Techniques including H2O.ai and Vtreat/data/py3_knime_lightgbm.yml"

# conda env update --name py3_knime_lightgbm --file "C:\\Users\\%USERNAME%\\knime-workspace-5\\Machine_Learning\\Heart Disease - Machine Learning Case - LightGBM Hyper Parameter Optimization\\data\\py3_knime_lightgbm.yml"

# conda update -n base conda

# 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/p/2ac217792539

# Hyperparameter optimization for LightGBM - wrapped in KNIME nodes

# https://medium.com/p/ddb7ae1d7e2

# conda activate py3_knime_lightgbm

# file: py3_knime_lightgbm.yml with some modifications

# THX Carsten Haubold (https://hub.knime.com/carstenhaubold) for hints

name: py3_knime_lightgbm # Name of the created environment

channels: # Repositories to search for packages

# - defaults # edit: removed to just use conda-forge

# - anaconda # edit: removed to just use conda-forge

- conda-forge

# https://anaconda.org/knime

- knime # conda search knime-python-base -c knime --info # to see what is in the package

dependencies: # List of packages that should be installed

- python # =3.9 # Python

- knime-python-base # dependencies of KNIME - Python integration

# - knime-python-scripting # everything you need to also build Python packages for KNIME

- cairo # SVG support

- pillow # Image inputs/outputs

- matplotlib # Plotting

- IPython # Notebook support

- nbformat # Notebook support

- scipy # Notebook support

- jpype1 # A Python to Java bridge

- openpyxl

# Jupyter Notebook support

- jupyter # Jupyter Notebook

- pandas-profiling # create overview of your data

- sweetviz # In-depth EDA (target analysis, comparison, feature analysis, correlation) in two lines of code!

- plotly # An interactive, browser-based graphing library for Python

- python-kaleido # Fast static image export for web-based visualization libraries

# Machine Learning Modules

- lightgbm

- xgboost

- hyperopt

- scikit-optimize # skopt

- optuna # A hyperparameter optimization framework

- pip # Python installer

- pip:

# - JPype1 # Databases

- vtreat # https://medium.com/low-code-for-advanced-data-science/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package-efcaf58fa783

- h2o>=3.38

- boruta # Python Implementation of Boruta Feature Selection

conda_environment_lightgbm

Component details

Output ports

Used extensions & nodes

KNIME Base nodesTrusted extension

KNIME Column Expressions (Labs)Trusted extension

KNIME Conda IntegrationTrusted extension

KNIME JavasnippetTrusted extension

KNIME Quick FormsTrusted extension

Legal

KNIME Base nodes

KNIME Column Expressions (Labs)

KNIME Conda Integration

KNIME Javasnippet

KNIME Quick Forms