Detecting Bad Data and Anomalies with the TDDA Library (Part I)

Posted on Fri 04 May 2018 in TDDA • Tagged with tests, anomaly detection, bad data

The test-driven data analysis library, tdda, has two main kinds of functionality

  • support for testing complex analytical processes with unittest or pytest
  • support for verifying data against constraints, and optionally for discovering such constraints from example data.

Until now, however, the verification process has only reported which constraints failed to …

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