Open Machine Learning

Initializing search

openml/docs

OpenML
Get Started
Datasets
Benchmarking
Ecosystem
Contributing
Questions
Python
PyTorch
TensorFlow
Julia
R
APIv2

Open Machine Learning

openml/docs

OpenML
Get Started
Get Started
- OpenML in 10 minutes
- Concepts
  Concepts
  - Data
  - Tasks
  - Flows
  - Runs
  - Collections & Benchmarks
  - Tagging
  - Authentication
  - Sharing
- Showcase
- Governance
- Terms
Datasets
Datasets
- Using datasets
- Technical specs
Benchmarking
Benchmarking
- AutoML Benchmark
  AutoML Benchmark
  - AutoML Benchmark
  - Important Parameters
  - Benchmark on OpenML
  - Tutorials
    Tutorials
    
    Basic Example - Random Forest
    
    Specific Task and Fold
Ecosystem
Ecosystem
- Python Integrations
- Scikit-learn
  Scikit-learn
  - Tutorials
    Tutorials
    
    Basic tutorial
    
    Datasets
- MLR
- Weka
- MOA
- Java
- REST API
Contributing
Contributing
- Documentation
- Backend
  Backend
- Frontend
  Frontend
- Clients
  Clients
- Style guide
- Resources
Questions
Python
Python
- Code Reference
  Code Reference
  - base
  - cli
  - config
  - evaluations
    
    evaluations
    
    evaluation
    
    functions
  - exceptions
  - extensions
    
    extensions
    
    extension_interface
    
    functions
    
    sklearn
    
    sklearn
    
    extension
  - flows
    
    flows
    
    flow
    
    functions
  - runs
    
    runs
    
    functions
    
    run
    
    trace
  - setups
    
    setups
    
    functions
    
    setup
  - study
    
    study
    
    functions
    
    study
  - tasks
    
    tasks
    
    functions
    
    split
    
    task
  - testing
  - utils
- Examples
  Examples
  - Basic
    Basic
    
    Introduction tutorial & Setup
    
    Datasets
    
    Flows and Runs
    
    Benchmark suites
  - Extended
    Extended
    
    Prepare for preprocessors and an OpenML task
    
    Logging
    
    Dataset upload tutorial
    
    Creating and Using a Custom Flow
    
    Datasets
    
    Fetching Evaluations
    
    Preparing tasks and scikit-learn models
    
    Obtaining Flow IDs
    
    Flows and Runs
    
    Plotting hyperparameter surfaces
    
    Run Setup
    
    Benchmark studies
    
    Benchmark suites
    
    Tasks: retrieving splits
    
    Tasks
  - Paper
    Paper
    
    Feurer et al. (2015)
    
    Strang et al. (2018)
    
    van Rijn and Hutter (2018)
    
    Perrone et al. (2018)
- Usage
- Contributing
- Extensions
- Changelog
PyTorch
PyTorch
- API Reference
  API Reference
- Examples
  Examples
  - Beginner
    Beginner
    
    Create dataset and task - tiniest imagenet
    
    Image Classification Task
    
    Pretrained Transformer Image Classification Task
    
    Sequential Classification Task
    
    Tabular Classification
  - Advanced
    Advanced
    
    Choose a Custom Optimizer
- Other Integrations
- Limitations of the API
- Philosophy behind the API Design
TensorFlow
TensorFlow
- API Reference
  API Reference
  - Config
  - OpenML Integration
- Docker Reference
  Docker Reference
  - Docker
- Examples
  Examples
- Limitations of the API
Julia
Julia
R
APIv2
APIv2
- Getting Started
- Contributing
  Contributing
- Changes

404 - Not found

Made with Material for MkDocs