ERTK

v2023.6.1

Contents

Installation
- ERTK
- Optional third-party libraries
Emotion Datasets
- Currently supported datasets:
- Standardising datasets
Instance processing
- Examples
Running experiments
- Example with EMO-DB

CLI reference

Command-line programs reference

API reference

Dataset classes and functions
Preprocessor classes and plugins
- Base classes
- Plugins
Training
Configuration utilities
- Base classes
  - ertk.config.ERTKConfig
    - ERTKConfig
- Functions
  - ertk.config.get_arg_mapping
    - get_arg_mapping()
Command-line programs
- ertk.cli.cli
  - ertk-cli scripts
    - ertk.cli.cli.cli
    - Commands
- ertk.cli.util
  - ertk-util scripts
    - ertk.cli.util.cli
    - Commands
Utility functions

Index

Index

ERTK

Training
Scikit-learn backend
ertk.sklearn.models
ertk.sklearn.models.mtl
Edit on GitHub

ertk.sklearn.models.mtl

Multi-task learning models.

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© Copyright 2019, Aaron Keesing. Revision 6ac4a438.

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