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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
julearn
  • Advanced Examples
  • View page source

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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