metadata_dict = metadata.to_dict() diagnostic = DiagnosticReport() diagnostic.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“Diagnostic score:”, diagnostic.get_score()) quality = QualityReport() quality.generate(real_data=real, synthetic_data=synthetic_sdv, metadata=metadata_dict, verbose=True) print(“Quality score:”, quality.get_score()) def show_report_details(report, title): print(f”n===== {title} details =====”) …
Tag:
Synthetic
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Machine Learning
Synthetic data that behaves: a practical guide to generating realistic health care-like data without violating privacy
Author(s): Abhishek Yadav Originally published on Towards AI. A practical guide to building synthetic data that looks, feels and behaves like the real world without risk to privacy photo by …