Welcome to ablator’s documentation!

Contents:

• Analysis package
  • Subpackages
  • Submodules
  • Analysis module module
  • Analysis results module
  • Module contents
• Config package
  • Submodules
  • Base Configuration module
  • Configuration Types module
  • Configuration Utils module
  • Module contents
• Main package
  • Subpackages
  • Submodules
  • Model Configuration module
  • Multi-process Trainer module
  • Prototype Trainer module
  • Experiment and Optuna state module
  • Module contents
• Modules package
  • Subpackages
  • Submodules
  • Optimizers module
  • Schedulers module
  • Module contents
• Utils package
  • Submodules
  • Base Utils module
  • File Utils module
  • Module contents

Tutorials

• Quick start with Ablator
  • Installing
  • Preparations
  • Access the results
  • Next steps
• Setting up environment
  • Installation
• Configuration basics
  • Configuration categories
  • Different methods to define running configurations
• Prototyping Models
  • Running Experiments using Ablator
  • Setting up Ablator
  • Configurations
  • Importing the dataset
  • Creating Pytorch Model
  • Defining Custom Evaluation Metrics
  • Model Wrapper
  • ProtoTrainer
  • Results
  • Conclusion
  • Additional Info
• Search Space Basics
  • SearchSpace Class
  • Creating a search space for hyperparameters.
  • Using “SearchSpace” for predefined configurations
  • Using SearchSpace for Custom Configs
  • Conclusion
• Hyperparameter Optimization
  • Importing libraries
  • Configurations
  • Defining a CNN Model
  • Search Space
  • Parallel Configuration
  • Importing the dataset
  • Creating Ray Cluster
  • ParallelTrainer.
  • Visualizing results w.r.t experiments
  • Conclusion
• Experiment output directory
• Interpreting Results
  • Importing Libraries.
  • To create pandas dataframe
  • Generating results
  • Plotting graphs
  • Analysis
  • Linearplots
  • Violinplots
  • Conclusion
• More examples

Indices and tables

• Index

• Module Index

• Search Page

Search Page