A Python package for benchmarking discrete choice models for transportation mode choice analysis.
You can install MCBS using pip:
pip install mcbs
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)
Currently available datasets:
This project is licensed under the MIT License - see the LICENSE file for details.
We welcome contributions! Please see our contributing guidelines for details.
FAQs
A benchmarking sandbox for mode choice models
We found that mcbs demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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