ERTK

2024.4.0

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

Preprocessor classes and plugins
ertk.preprocessing.kmeans
View page source

ertk.preprocessing.kmeans

Kmeans vector quantiser.

`KMeansExtractorConfig`([pickle])	KMeans feature extractor configuration.
`KMeansExtractor`(config)	KMeans vector quantiser.

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© Copyright 2019, Aaron Keesing.

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