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MISTIC 0.1.1
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MISTIC 0.1.1

Contents:

  • Installation and setup
  • The MISTIC framework
  • Tutorials
    • Support vector machine foundations
    • Feature selection and perturbation analysis
    • Deriving MISTIC’s feature-ranking metrics
    • Forward and backward feature selection
    • Interpretations and explanations
    • Visualizing results and explanations
    • Blind predictions: best practices
    • Synthetic benchmark against scikit-learn models
  • Example notebooks
  • API reference
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Python Module Index

m
 
m
- mistic
    mistic.cvSet
    mistic.explanations
    mistic.svmSet
    mistic.utility
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