This section introduces the Pipeline scripts for different types of tasks.
Selection by Fast-sbt Task:
script: pipeline-hetero-feature-selection-fast-sbt.py
Selection by Iv Value Task :
script: pipeline-hetero-feature-selection-iv-selection.py
Selection by Iv Top-k Task :
script: pipeline-hetero-feature-selection-iv-top-k.py
Selection by Manually Task:
script: pipeline-hetero-feature-selection-manually.py
Selection by Manually with Setting left columns Task:
script: pipeline-hetero-feature-selection-manually-left.py
Multi-host Task:
script: pipeline-hetero-feature-selection-multi-host.py
Multiple Input Isometric Model Task:
script: pipeline-hetero-feature-selection-multi-iso.py
Selection by Percentage Value Task:
script: pipeline-hetero-feature-selection-percentage-value.py
Selection with Setting Col-names Task:
script: pipeline-hetero-feature-selection-select-col-names.py
Selection with Setting Col-indices Task:
script: pipeline-hetero-feature-selection-select-cols.py
Selection by Multiple Methods Task:
script: pipeline-hetero-feature-selection-selection.py
Single Predict Task:
script: pipeline-hetero-feature-selection-single-predict.py
Selection with Setting Anonymous Col-names Task:
script: pipeline-hetero-feature-selection-select-anonymous-col-names.py
Selection by Setting Anonymous Columns in Manually Filter:
script: pipeline-hetero-feature-selection-anonymous-manually.py
Selection by Setting Anonymous Left Columns in Manually Filter:
script: pipeline-hetero-feature-selection-anonymous-manually-left.py
Selection with VIF Filter:
script: pipeline-hetero-feature-selection-vif.py
Selection with Pearson:
script: pipeline-hetero-feature-selection-pearson.py
Selection with Pearson & Prediction:
script: pipeline-hetero-feature-selection-pearson-predict.py
Selection with local-only filters:
script: pipeline-hetero-feature-selection-local-only.py
Selection with Multi-class Data:
script: pipeline-hetero-feature-selection-multiclass.py
Selection with Multi-class Data & All Filter Types:
script: pipeline-hetero-feature-selection-multiclass-all-case.py
Users can run a pipeline job directly:
python ${pipeline_script}