Initializer

class Initializer

Bases: ABC

Abstract base class for mixture model initializers.

This class defines the interface for all initialization strategies that estimate initial parameters for mixture models. Subclasses must implement the perform method to provide specific initialization logic.

Methods

perform(X, dists, cluster_match_strategy, estimation_strategies)

Performs initialization of mixture model parameters.

Notes

Purpose

initializers are responsible for providing good starting points for mixture model parameters before the main optimization process. This can significantly improve convergence speed and solution quality.

Implementation Requirements

Subclasses must implement the perform method to:

• Estimate initial parameters for each distribution component

• Calculate initial mixture weights

• Return a properly initialized MixtureModel instance

Common Initialization Strategies

• Cluster-based initialization (using clustering algorithms)