Olympus

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Getting Started

First Steps
Observers and Aspects

Examples

Minimalist Example
Simple Hyper Parameter Search
Parallel Hyper Parameter Search
Simple Dashboard
Dynamic Dashboard

Contributing

Contributing to Olympus

API

Accumulators
- olympus.accumulators.smoothing module
Dashboard
- Plots
Baselines
Datasets
- Archive
- CIFAR 10
- CIFAR 100
- All Dataset
- Extended MNIST
- FakeDataset
- Fashion MNIST
- Gaussian
- ImageNet
- MNIST
- Pennfudan
- SVHN
- Tensor HDF5
- Tiny ImageNet
- Transformed Dataset
Distributed
- Multi GPU
- Module contents
Hyper parameter Optimization
- Registered HPO
  - Hyperband
  - Random Search
- Module contents
Metrics
- Available Metrics
- Module contents
Models
- Registered Models
- Module contents
Observers
Optimizers
- Adam
- AMSGrad
- Base
- SGD
- Module contents
Reinforcement Learning
Samplers
- Group
Schedules
Split Methods
Tasks
Utilities
- dtypes
- Factory
- Mixed Precision
- Network
- Options
- Signals
- Statistics
- Storage
- Subpackages
  - GPU
    - Submodules
    - Module contents
- Module contents

Olympus

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Split Methods »
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Original¶

olympus.datasets.split.original.split(datasets, data_size, seed, ratio, index, balanced)[source]¶

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© Copyright 2017-2019 Pierre Delaunay Revision b5b7a2b1.

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