MLDataPattern.jl
stable
  • Getting Started
    • Installation
    • Overview
    • How to … ?
    • Getting Help
  • Background and Motivation
    • Two Kinds of Data Sources
    • A Manual Solution for Arrays
    • Array Dimension for Observations
    • Generalizing to Other Data
  • Package Design
    • Design Principles
    • Design Overview
  • Data Container
    • Interface Overview
    • Number of Observations
    • Query Observation(s)
    • Sample Observation(s)
    • Observation Dimension
  • Data Subsets
    • Subsetting a Data Container
    • The DataSubset Type
    • Support for Custom Types
    • Shuffling a Data Container
    • Splitting into Train and Test
  • Labeled Data Container
    • Query Target(s)
    • Iterate over Targets
    • Support for Custom Types
    • Stratified Sampling
    • Under- and Over-Sampling
  • Repartitioning Strategies
    • Terms and Definitions
    • Computing K-Folds Indices
    • Computing Leave-Out Indices
    • The FoldsView Type
    • K-Folds for Data Container
    • Leave-Out for Data Container
  • Data Views
    • As Vector of Observations
    • As Vector of Batches
    • As Vector of Sequences
  • Data Iterators
    • Randomly sample Observations
    • Randomly sample Mini-Batches
    • The BufferGetObs Type
  • LICENSE
 
MLDataPattern.jl
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© Copyright 2017, Christof Stocker, Tom Breloff, and others Revision b9f9129e.

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