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kn_​example_​ml_​vtreat_​regression_​data_​prep

Prepare data for machine-learning models with "REGRESSION" Targets using the vtreat package and Python

Prepare data for machine-learning models with "REGRESSION" Targets using the vtreat package and Python

House Prices - Advanced Regression Techniques
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview

REGRESSION - create a data preparation with vtreat package on the training data, store the procedure and apply it to the test data Python Conda environment propagation. Please read this article for more details:KNIME and Python — Setting up and managing Conda environmentshttps://medium.com/p/2ac217792539 Prepare data for machine-learning models with "REGRESSION" Targets using the vtreat package and PythonHouse Prices - Advanced Regression Techniqueshttps://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” packagehttps://medium.com/p/efcaf58fa783https://forum.knime.com/t/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package/58679?u=mlauber71 v_vtreat_indicator_min_fraction=> edit!return 0.025;https://github.com/WinVector/pyvtreat/blob/main/Examples/Regression/Regression.mdPropagate Python environmentfor KNIME on MacOSX withMiniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesPropagate Python environmentfor KNIME on Windows withMiniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesdataset_regression.parquethttps://www.kaggle.com/c/house-prices-advanced-regression-techniques/overviewPropagate Python environmentfor KNIME on MacOSX (Apple Scilicon)with Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the names"Target"as the regression target20 vtreatAPPLY" Target" as the regression target80 vtreatvtreat for KNIME!https://win-vector.com/2020/06/28/vtreat-for-knime/TRAINING / TESTvtreat_treatment_regression.zipvtreat_treatment_regression.zipvtreat_treatment_regression.csvwithoutvtreatwithoutvtreatwithoutvtreatwithvtreatwithvtreatwithvtreatno vtreatwithvtreatno vtreatvtreatRMSEascendingJava EditVariable (simple) conda_environment_kaggle_macosx conda_environment_kaggle_windows Parquet Reader conda_environment_kaggle_apple_silicon Python Script Python Script Partitioning Model Reader Model Writer CSV Writer XGBoost Tree EnsembleLearner (Regression) XGBoost Predictor(Regression) Numeric Scorer XGBoost Tree EnsembleLearner (Regression) XGBoost Predictor(Regression) Numeric Scorer Transpose Transpose ConstantValue Column ConstantValue Column Concatenate RowID RowID Sorter Merge Variables REGRESSION - create a data preparation with vtreat package on the training data, store the procedure and apply it to the test data Python Conda environment propagation. Please read this article for more details:KNIME and Python — Setting up and managing Conda environmentshttps://medium.com/p/2ac217792539 Prepare data for machine-learning models with "REGRESSION" Targets using the vtreat package and PythonHouse Prices - Advanced Regression Techniqueshttps://www.kaggle.com/c/house-prices-advanced-regression-techniques/overview Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” packagehttps://medium.com/p/efcaf58fa783https://forum.knime.com/t/data-preparation-for-machine-learning-with-knime-and-the-python-vtreat-package/58679?u=mlauber71 v_vtreat_indicator_min_fraction=> edit!return 0.025;https://github.com/WinVector/pyvtreat/blob/main/Examples/Regression/Regression.mdPropagate Python environmentfor KNIME on MacOSX withMiniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesPropagate Python environmentfor KNIME on Windows withMiniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesdataset_regression.parquethttps://www.kaggle.com/c/house-prices-advanced-regression-techniques/overviewPropagate Python environmentfor KNIME on MacOSX (Apple Scilicon)with Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the names"Target"as the regression target20 vtreatAPPLY" Target" as the regression target80 vtreatvtreat for KNIME!https://win-vector.com/2020/06/28/vtreat-for-knime/TRAINING / TESTvtreat_treatment_regression.zipvtreat_treatment_regression.zipvtreat_treatment_regression.csvwithoutvtreatwithoutvtreatwithoutvtreatwithvtreatwithvtreatwithvtreatno vtreatwithvtreatno vtreatvtreatRMSEascendingJava EditVariable (simple) conda_environment_kaggle_macosx conda_environment_kaggle_windows Parquet Reader conda_environment_kaggle_apple_silicon Python Script Python Script Partitioning Model Reader Model Writer CSV Writer XGBoost Tree EnsembleLearner (Regression) XGBoost Predictor(Regression) Numeric Scorer XGBoost Tree EnsembleLearner (Regression) XGBoost Predictor(Regression) Numeric Scorer Transpose Transpose ConstantValue Column ConstantValue Column Concatenate RowID RowID Sorter Merge Variables

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: m_lauber
Created at: 2022-12-29
On NodePit since: 2023-01-01
Last update: 2024-04-28
Created with KNIME version: v4.7.0
Tags: vtreatregressiontreatment

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