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planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
author goeckslab
date Sat, 21 Jun 2025 15:07:04 +0000
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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1 # Tabular Learner Tools
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
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3 This repository contains two machine learning tools for working with tabular data in the Gleam framework:
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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5 ## 1. Tabular Learner
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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7 A comprehensive tool for training and evaluating multiple machine learning models on tabular datasets.
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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9 ### Features:
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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10 - Supports both classification and regression tasks
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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11 - Automatically compares multiple algorithms to find the best model
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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12 - Extensive customization options:
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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13 - Data normalization
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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14 - Feature selection
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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15 - Cross-validation
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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16 - Outlier removal
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
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17 - Multicollinearity handling
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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18 - Polynomial feature generation
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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19 - Class imbalance correction
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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20 - Outputs detailed HTML reports with performance metrics and visualizations
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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21 - Saves the best model for later use
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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23 ## 2. PyCaret Predictor/Evaluator
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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25 A companion tool for making predictions and evaluating trained models on new data.
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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27 ### Features:
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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28 - Works with models trained by Tabular Learner
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
diff changeset
29 - Supports both classification and regression tasks
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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30 - Generates predictions on new data
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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31 - Creates evaluation reports when target values are provided
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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32 - Outputs predictions in CSV format
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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34 ## Workflow
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ccd798db5abb planemo upload for repository https://github.com/goeckslab/Galaxy-Pycaret commit cf47efb521b91a9cb44ae5c5ade860627f9b9030
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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36 These tools are designed to work together:
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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37 1. Use **Tabular Learner** to train and find the best model for your dataset
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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38 2. Use **PyCaret Predictor/Evaluator** to apply your trained model to new data
c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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c846405830eb planemo upload for repository https://github.com/goeckslab/gleam commit 4dc221b2fa9717552787f0985ad3fc3df4460158
goeckslab
parents: 3
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40 Both tools are powered by [PyCaret](https://pycaret.org/), an open-source machine learning library that automates the ML workflow.