mcbs 0.1.0

A benchmarking sandbox for mode choice models

Mode Choice Benchmarking Sandbox (MCBS)

A Python package for benchmarking discrete choice models for transportation mode choice analysis.

Installation

You can install MCBS using pip:

pip install mcbs

Quick Start

from mcbs.benchmarking import Benchmark
from mcbs.datasets import DatasetLoader

# Load a dataset
benchmark = Benchmark("swissmetro_dataset")

# Define your models
models = {
    "MNL - Base Model": your_model_function
}

# Run benchmark
results = benchmark.run(models)

# Compare results
benchmark.compare_results(results)

Features

• Easy access to transportation mode choice datasets
• Standardized benchmarking metrics
• Support for Biogeme model estimation
• Visualization of benchmark results

Datasets

Currently available datasets:

• Swissmetro
• London Transport
• Mode Canada

Requirements

• Python >=3.8
• NumPy >=2.0.0
• Pandas >=2.0.0
• Biogeme >=3.2.14
• Matplotlib >=3.0.0

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

We welcome contributions! Please see our contributing guidelines for details.