Explanation

Nkululeko Overview
Architecture and Components
Glossary of Terms

How-to Guides

Installation
Usage
Overview of options for the nkululeko framework

Visualization

Nkululeko Plots
Confusion matrix
Epoch progression
Feature importance
Feature distribution
t-SNE plots
Data distribution
Bias checking
Uncertainty

Tutorials

Nkululeko Workflow
Hello world [AUDFORMAT]
Hello World [CSV]
Emotion Prediction with Emotion2vec
Comparing classifiers and features
Feature Scaling in Nkululeko
Data Balancing in Nkululeko
Feature Correlation Plots (regplot)
Activation Functions in Neural Network Models
Text Processing: Transcribe, Translate, and Classify
How to Align Databases
Using Uncertainty in Predictions
Comparing Classifiers, Features, and Databases
Linguistic Features with BERT
Train/Dev/Test Splits
Predicting Speaker ID
Finetuning Transformer Models
Using Split Train and Test Data
How to Split Your Data
Bundle: Export and Inference
Equal Error Rate (EER) Implementation for Nkululeko

Modules

nkululeko.nkululeko
nkululeko.explore
nkululeko.augment
nkululeko.resample
nkululeko.segment
nkululeko.optim
nkululeko.predict
nkululeko.multidb
nkululeko.ensemble
nkululeko.flags

API Reference

nkululeko package

nkululeko

nkululeko package
nkululeko.losses package
View page source

nkululeko.losses package

Submodules

nkululeko.losses.loss_ccc module

nkululeko.losses.loss_softf1loss module

Module contents

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© Copyright 2023, Felix Burkhardt, Bagus Tris Atmaja.

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