## Hetero Feature Selection Pipeline Example Usage Guide.

#### Example Tasks

This section introduces the Pipeline scripts for different types of tasks.

1. Selection by Fast-sbt Task:

    script: pipeline-hetero-feature-selection-fast-sbt.py

2. Selection by Iv Value Task :

    script: pipeline-hetero-feature-selection-iv-selection.py

3. Selection by Iv Top-k Task :

    script: pipeline-hetero-feature-selection-iv-top-k.py

4. Selection by Manually Task:

    script: pipeline-hetero-feature-selection-manually.py

5. Selection by Manually with Setting left columns Task:

    script: pipeline-hetero-feature-selection-manually-left.py

6. Multi-host Task:
    
    script: pipeline-hetero-feature-selection-multi-host.py

7. Multiple Input Isometric Model Task:
    
    script: pipeline-hetero-feature-selection-multi-iso.py

8. Selection by Percentage Value Task:
    
    script: pipeline-hetero-feature-selection-percentage-value.py

9. Selection with Setting Col-names Task:
    
    script: pipeline-hetero-feature-selection-select-col-names.py

10. Selection with Setting Col-indices Task:
    
    script: pipeline-hetero-feature-selection-select-cols.py

11. Selection by Multiple Methods Task:
    
    script: pipeline-hetero-feature-selection-selection.py

12. Single Predict Task:
    
    script: pipeline-hetero-feature-selection-single-predict.py

13. Selection with Setting Anonymous Col-names Task:
    
    script: pipeline-hetero-feature-selection-select-anonymous-col-names.py

14. Selection by Setting Anonymous Columns in Manually Filter:

    script: pipeline-hetero-feature-selection-anonymous-manually.py

15. Selection by Setting Anonymous Left Columns in Manually Filter:
    
    script: pipeline-hetero-feature-selection-anonymous-manually-left.py

16. Selection with VIF Filter:

    script: pipeline-hetero-feature-selection-vif.py

17. Selection with Pearson:

    script: pipeline-hetero-feature-selection-pearson.py

18. Selection with Pearson & Prediction:

    script: pipeline-hetero-feature-selection-pearson-predict.py

19. Selection with local-only filters:

    script: pipeline-hetero-feature-selection-local-only.py

20. Selection with Multi-class Data:

    script: pipeline-hetero-feature-selection-multiclass.py

21. 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}