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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