Creates a scatter plot comparing topic model metrics across K values. Automatically selects the best available metric combination.
Usage
plot_model_comparison(
search_results,
title = "Model Comparison",
height = 600,
width = 800
)See also
Other topic-modeling:
analyze_semantic_evolution(),
assess_hybrid_stability(),
calculate_assignment_consistency(),
calculate_eval_metrics_internal(),
calculate_keyword_stability(),
calculate_semantic_drift(),
calculate_topic_probability(),
calculate_topic_stability(),
find_optimal_k(),
find_topic_matches(),
fit_embedding_topics(),
fit_hybrid_model(),
fit_temporal_model(),
generate_topic_labels(),
get_topic_prevalence(),
get_topic_terms(),
get_topic_texts(),
identify_topic_trends(),
plot_quality_metrics(),
run_contrastive_topics_internal(),
run_neural_topics_internal(),
run_temporal_topics_internal(),
validate_semantic_coherence()
