MLDataUtils.jl
stable
  • 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
  • Docs »
  • Index
  • Edit on GitHub

Index

C | E | L | N | R

C

  • center!() (built-in function)

E

  • expand_poly() (built-in function)

L

  • load_iris() (built-in function)
  • load_line() (built-in function)
  • load_poly() (built-in function)
  • load_sin() (built-in function)

N

  • noisy_function() (built-in function)
  • noisy_poly() (built-in function)
  • noisy_sin() (built-in function)

R

  • rescale!() (built-in function)

© Copyright 2016, Christof Stocker, Tom Breloff, and others. Revision 67c9271f.

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