MLDataUtils.jl
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  • Getting Started
    • Installation
    • Beginner Tutorial
    • How to … ?
    • Getting Help
  • Label Encodings
    • Working with Targets
    • Deriving and Asserting Encodings
    • Converting between Encodings
    • Classifying Predictions
  • Data Access Pattern
    • Terms and Definitions
    • Working with Data Container
    • Subsetting and Shuffling
    • Splitting into Train / Test
    • Stratified Sampling
    • Over- and Undersampling
    • K-Folds Repartitioning
    • Data Views and Iterators
    • Putting it all together
  • Feature Normalization
    • Centering
    • Rescaling
    • Basis Expansion
  • Data Generators
    • Noisy Function
    • Noisy Sin
    • Noisy Polynome
  • Example Datasets
    • Fisher’s Iris data set
    • Noisy Line Example
    • Noisy Sin Example
    • Noisy Polynome Example
  • Acknowledgements
  • LICENSE
 
MLDataUtils.jl
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© Copyright 2016, Christof Stocker, Tom Breloff, and others Revision 2f845c64.

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