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# Synthetic Data - Quality Assurance
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[![](https://pepy.tech/badge/mostlyai-qa)](https://pypi.org/project/mostlyai-qa/) ![](https://img.shields.io/github/license/mostly-ai/mostlyai-qa) ![GitHub Release](https://img.shields.io/github/v/release/mostly-ai/mostlyai-qa) ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/mostlyai-qa)
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Assess the fidelity and novelty of synthetic samples with respect to original samples:
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1. calculate a rich set of accuracy, similarity and distance metrics

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