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kn_​example_​ml_​vtreat_​multiclass_​data_​prep_​unsupervised

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

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

Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss
https://hub.knime.com/-/spaces/-/latest/~NOzxbvlolS1m8slq/

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 the data unsupervised with the help of the "vtreat" package for MULTICLASS targets ("Class") Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and PythonScore UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLosshttps://hub.knime.com/-/spaces/-/latest/~NOzxbvlolS1m8slq/ 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/Multinomial/MultinomialExample.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_multiclass.parquethttps://archive.ics.uci.edu/ml/datasets/wine+quality" Class" as the binary targetTEST vtreatPropagate Python environmentfor KNIME on MacOSX (Apple Scilicon)with Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesTRAINING / TESTvtreat_treatment_unsupervised.zipvtreat_treatment_unsupervised.zipvtreat_treatment_unsupervised.csvno vtreatvtreatno vtreatvtreatLogLossdescendingno vtreat"Class"no vtreatvtreatvtreat"Class"no vtreatno vtreat*Class*vtreatvtreatno vtreatvtreat"Class"as the multi-class targetTRAINING vtreatvtreat for KNIME!https://win-vector.com/2020/06/28/vtreat-for-knime/Java EditVariable (simple) conda_environment_kaggle_macosx conda_environment_kaggle_windows Parquet Reader Python Script conda_environment_kaggle_apple_silicon Partitioning Model Reader Model Writer CSV Writer ConstantValue Column ConstantValue Column Concatenate RowID RowID Sorter XGBoost TreeEnsemble Learner XGBoost Predictor XGBoost Predictor XGBoost TreeEnsemble Learner H2O Local Context Table to H2O Column Filter ReferenceColumn Filter Table to H2O H2O MultinomialScorer H2O MultinomialScorer Python Script Merge Variables 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 the data unsupervised with the help of the "vtreat" package for MULTICLASS targets ("Class") Prepare data for machine-learning models with "MULTICLASS" Targets using the vtreat package and PythonScore UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLosshttps://hub.knime.com/-/spaces/-/latest/~NOzxbvlolS1m8slq/ 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/Multinomial/MultinomialExample.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_multiclass.parquethttps://archive.ics.uci.edu/ml/datasets/wine+quality" Class" as the binary targetTEST vtreatPropagate Python environmentfor KNIME on MacOSX (Apple Scilicon)with Miniforge / Minicondaconfigure how to handle the environmentdefault = just check the namesTRAINING / TESTvtreat_treatment_unsupervised.zipvtreat_treatment_unsupervised.zipvtreat_treatment_unsupervised.csvno vtreatvtreatno vtreatvtreatLogLossdescendingno vtreat"Class"no vtreatvtreatvtreat"Class"no vtreatno vtreat*Class*vtreatvtreatno vtreatvtreat"Class"as the multi-class targetTRAINING vtreatvtreat for KNIME!https://win-vector.com/2020/06/28/vtreat-for-knime/Java EditVariable (simple) conda_environment_kaggle_macosx conda_environment_kaggle_windows Parquet Reader Python Script conda_environment_kaggle_apple_silicon Partitioning Model Reader Model Writer CSV Writer ConstantValue Column ConstantValue Column Concatenate RowID RowID Sorter XGBoost TreeEnsemble Learner XGBoost Predictor XGBoost Predictor XGBoost TreeEnsemble Learner H2O Local Context Table to H2O Column Filter ReferenceColumn Filter Table to H2O H2O MultinomialScorer H2O MultinomialScorer Python Script 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: 2024-04-27
Created with KNIME version: v4.7.0
Tags: vtreatpythonmulti-classmulticlasspreparation

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