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Contents:

  • Installing julearn
  • Input Data
  • Understanding the pipeline
  • Scoring
  • Available Pipeline Steps
  • Hyperparameters
  • Basic Examples
  • Advanced Examples
    • Working with pandas
    • Custom Scoring Function for Regression
    • Tuning Hyperparameters
    • Return Confounds in Confound Removal
  • Reference
  • Contributing to julearn
  • Maintaining julearn
  • What’s new
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Advanced Examples

Working with pandas

Working with pandas

Custom Scoring Function for Regression

Custom Scoring Function for Regression

Tuning Hyperparameters

Tuning Hyperparameters

Return Confounds in Confound Removal

Return Confounds in Confound Removal

Download all examples in Python source code: advanced_python.zip

Download all examples in Jupyter notebooks: advanced_jupyter.zip

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