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0.1dev0
  • Installation
    • Development version
  • API documentation
    • Optimizers
      • Inheritance Diagram
    • Objective Functions
      • Inheritance Diagram
  • IPython notebooks
    • Robust fitting of linear models using Least Absolute Deviations
    • L1 and L2 Linear Regression
    • Logistic Regression
    • Logistic Regression Applied to Classification of Breast Tumors
      • 1. Data Visualization
      • 2. Model fitting
      • 3. Comparison against scikit-learn
      • 4. Logistic Regression with L1 Regularization
    • Predicting the ages of abalones using Linear Regression
      • 1. Data Visualization
      • 2. Model fitting
      • 3. Comparison against scikit-learn
      • 4. Linear Regression with L1 Regularization
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  • IPython notebooks
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IPython notebooksΒΆ

The following notebooks describe the usability of macaw:

  • Robust fitting of linear models using Least Absolute Deviations
  • L1 and L2 Linear Regression
  • Logistic Regression
  • Logistic Regression Applied to Classification of Breast Tumors
  • Predicting the ages of abalones using Linear Regression
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