0.2.3

Installation

  • Install
    • Bleeding edge
    • Dependencies
  • Test build

High-level API

  • Getting started
    • Preliminaries
    • Ensemble guide
      • Building an ensemble
      • Multi-layer ensembles
    • Model selection guide
      • The scoring function
      • A simple evaluation
      • Preprocessing
      • Model Selection across preprocessing pipelines
    • Visualization guide
  • Advanced features tutorial
    • Propagating input features
    • Probabilistic ensemble learning
    • Advanced Subsemble techniques
    • General multi-layer ensemble learning
    • Passing file paths as data input
    • Ensemble model selection
  • Ready-made ensemble classes
    • Super Learner
      • References
      • Notes
    • Subsemble
      • References
      • Notes
    • Blend Ensemble
    • Temporal Ensemble
    • Sequential Ensemble

Mechanics

  • Overview
  • Learner Mechanics
    • The Learner API
      • Basics
      • Partitioning
      • Preprocessing
      • Parallel estimation
  • Layer Mechanics
    • The Layer API
      • Basics
      • Multitasking
      • Layer features
  • Parallel Mechanics
    • ParallelProcessing API
      • Stacking a set of parallel jobs
      • Manual initialization and processing
      • Memory management
  • Sequential Mechanics

Details

  • Memory consumption
    • Memory mapping
    • ML-Ensemble memory profiling
    • Memory performance benchmark
    • Gotcha’s
  • Performance benchmarks
    • MNIST
      • Benchmark
    • The Friedman Regression Problem 1
      • Benchmark
      • References
  • Scale benchmarks
    • Single process vs multi-process
    • Ensemble comparison
  • Troubleshooting
    • Bad interaction with third-party packages
    • Array copying during fitting

Additional Information

  • License
  • Change log
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© Copyright 2017, Sebastian Flennerhag.

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