ibrahimpy 0.1.1

Intelligent Benchmark Relational Analysis for Heuristic Index Modeling - A multi-criteria decision analysis framework for benchmark-based ranking

IBRAHIMpy (Intelligent Benchmark Relational Analysis for Heuristic Index Modeling)

A novel machine learning framework for multi-criteria decision analysis and benchmark-based ranking.

📊 Overview

IBRAHIMpy is an intelligent analytical model that evaluates multiple records based on many variables, determines the highest benchmark, and computes ranking scores. It combines elements of multi-criteria decision analysis (MCDA) with machine learning for robust, automated benchmarking.

Key Features

• Automatic Feature Direction Detection: Determines whether variables should be maximized or minimized
• Intelligent Benchmark Generation: Creates ideal benchmark records based on feature directions
• Flexible Weight Assignment: Supports both automatic (ML-based) and manual weight specification
• 0-100 Scoring Scale: Intuitive, normalized scores for easy interpretation
• New Record Evaluation: Compare any new record against the established benchmark
• Visualization Tools: Built-in plotting for ranking analysis

🚀 Installation

From PyPI (Recommended)

pip install ibrahimpy