Prince - Factor Analysis in Python
JSON →Prince is a Python library for various factor analysis methods, including Principal Component Analysis (PCA), Correspondence Analysis (CA), Multiple Correspondence Analysis (MCA), Multiple Factor Analysis (MFA), Factor Analysis of Mixed Data (FAMD), Generalized Procrustes Analysis (GPA), and Procrustes Global Analysis (PGA). As of version 0.17.0, it offers a scikit-learn compatible API, making it easy to integrate into existing data science workflows. The project is actively maintained with a relatively steady release cadence, incorporating new features and improvements.
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Resources
packagepypi.org/project/prince/ ↗
API endpoints
full doc /v1/registry/prince
install /v1/registry/prince/install
compatibility /v1/registry/prince/compatibility