Welcome to divik’s documentation!

Here you can find a list of documentation topics covered by this page.

Command Line Interface

• Cluster analysis with fit-clusters executable
  • Usage
    • CLI interface
    • Experiment configuration
  • Model setup
    • divik models
      • Sample config with KMeans
      • Sample config with DiviK
    • scikit-learn models
      • Sample config with MeanShift
    • Pipelines
      • Sample config with Pipeline
    • Custom models

Computational Modules

divik.cluster	Clustering methods
divik.feature_extraction	Unsupervised feature extraction methods
divik.feature_selection	Unsupervised feature selection methods
divik.sampler	Sampling methods for statistical indices computation purposes

Utility Packages

divik	Unsupervised high-throughput data analysis methods
divik.core	Reusable utilities used for building divik library
divik.core.io	Reusable utilities for data and model I/O
divik.core.gin_sklearn_configurables	Mark scikit-learn classes as configurable

Indices and tables

• Index

• Module Index