Workflow Type: Galaxy
Open
Regression in Machine Learning
Associated Tutorial
This workflows is part of the tutorial ml_regression, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Tutorial Author(s): Alireza Khanteymoori, Anup Kumar, Simon Bray
Workflow Author(s): Anup Kumar
Inputs
ID | Name | Description | Type |
---|---|---|---|
test_rows | test_rows | n/a |
|
test_rows_labels | test_rows_labels | n/a |
|
train_rows | train_rows | n/a |
|
Steps
ID | Name | Description |
---|---|---|
3 | Pipeline Builder | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_build_pipeline/sklearn_build_pipeline/1.0.11.0 |
4 | Generalized linear models | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_generalized_linear/sklearn_generalized_linear/1.0.11.0 |
5 | Ensemble methods | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_ensemble/sklearn_ensemble/1.0.11.0 |
6 | Remove beginning | Remove beginning1 |
7 | Hyperparameter Search | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_searchcv/sklearn_searchcv/1.0.11.0 |
8 | Generalized linear models | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_generalized_linear/sklearn_generalized_linear/1.0.11.0 |
9 | Ensemble methods | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_ensemble/sklearn_ensemble/1.0.11.0 |
10 | Ensemble methods | toolshed.g2.bx.psu.edu/repos/bgruening/sklearn_ensemble/sklearn_ensemble/1.0.11.0 |
11 | Plot actual vs predicted curves and residual plots | toolshed.g2.bx.psu.edu/repos/bgruening/plotly_regression_performance_plots/plotly_regression_performance_plots/0.1 |
12 | Plot actual vs predicted curves and residual plots | toolshed.g2.bx.psu.edu/repos/bgruening/plotly_regression_performance_plots/plotly_regression_performance_plots/0.1 |
13 | Plot actual vs predicted curves and residual plots | toolshed.g2.bx.psu.edu/repos/bgruening/plotly_regression_performance_plots/plotly_regression_performance_plots/0.1 |
Version History
1.0 (earliest) Created 25th Jun 2024 at 11:25 by Helena Rasche
Added/updated 4 files
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master
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Views: 343 Downloads: 86
Created: 25th Jun 2024 at 11:25
Last updated: 25th Jun 2024 at 11:25
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