nkululeko

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
  • Index

Index

D | H | I | M | N | R | S | T

D

  • DefineBase (class in nkululeko.reporting.defines)

H

  • Header (class in nkululeko.reporting.defines)
  • HEADER_EXPLORE (nkululeko.reporting.defines.Header attribute)
  • HEADER_RESULTS (nkululeko.reporting.defines.Header attribute)

I

  • init_config() (in module nkululeko.glob_conf)

M

  • module
    • nkululeko, [1]
    • nkululeko.augmenting
    • nkululeko.autopredict
    • nkululeko.constants
    • nkululeko.data
    • nkululeko.feat_extract
    • nkululeko.glob_conf
    • nkululeko.losses
    • nkululeko.models
    • nkululeko.reporting
    • nkululeko.reporting.defines
    • nkululeko.reporting.report_item
    • nkululeko.segmenting
    • nkululeko.utils

N

  • nkululeko
    • module, [1]
  • nkululeko.augmenting
    • module
  • nkululeko.autopredict
    • module
  • nkululeko.constants
    • module
  • nkululeko.data
    • module
  • nkululeko.feat_extract
    • module
  • nkululeko.glob_conf
    • module
  • nkululeko.losses
    • module
  • nkululeko.models
    • module
  • nkululeko.reporting
    • module
  • nkululeko.reporting.defines
    • module
  • nkululeko.reporting.report_item
    • module
  • nkululeko.segmenting
    • module
  • nkululeko.utils
    • module

R

  • ReportItem (class in nkululeko.reporting.report_item)

S

  • set_got_speaker() (in module nkululeko.glob_conf)
  • set_label_encoder() (in module nkululeko.glob_conf)
  • set_labels() (in module nkululeko.glob_conf)
  • set_module() (in module nkululeko.glob_conf)
  • set_report() (in module nkululeko.glob_conf)
  • set_split3() (in module nkululeko.glob_conf)
  • set_target() (in module nkululeko.glob_conf)
  • set_util() (in module nkululeko.glob_conf)

T

  • to_string() (nkululeko.reporting.report_item.ReportItem method)

© Copyright 2023, Felix Burkhardt, Bagus Tris Atmaja.

Built with Sphinx using a theme provided by Read the Docs.