Abstract Components Overview

Components

Data Handling

This component is responsible for managing and preparing datasets for recommender system evaluation. It handles loading, preprocessing, and formatting ground truth and prediction data into structures suitable for metric computation.

Metric Definitions

This component encapsulates the core implementations of various individual evaluation metrics. These metrics are categorized by type (e.g., classification, ranking, rating, coverage) and provide the fundamental algorithms for quantitative assessment.

Metric Set Management

This component enables the creation, combination, and management of collections of metrics. It allows users to define specific evaluation scenarios by aggregating individual `Metric Definitions` into reusable `MetricSet` objects (e.g., `ClassificationMetricSet`, `RankingMetricSet`).

Evaluation Orchestration

This is the central component that orchestrates the entire evaluation workflow. It takes prepared input data and a defined set of metrics to compute performance scores, generate comprehensive scorecards, and present the evaluation results.

Utility Functions

This component provides a collection of general-purpose helper functions that support various operations across the library. This includes data transformation utilities (e.g., binarization, normalization) and other auxiliary functions that enhance the overall functionality and usability.