v0.76.1

v0.76.1 | 17 May 2024

Additions

• It is now possible to set a fixed random seed when creating impulse
  noise (diive.pkgs.createvar.noise.add_impulse_noise)

Changes

• In class zScoreIncrements, outliers are now detected by calculating the sum of the absolute differences between a
  data point and its respective preceding and next data point. Before, only the non-absolute difference of the preceding
  data point was considered. The sum of absolute differences is then used to calculate the z-score and in further
  consequence to flag outliers. (diive.pkgs.outlierdetection.incremental.zScoreIncrements)

Notebooks

• Added new notebook for outlier detection using
  class zScoreIncrements (notebooks/OutlierDetection/zScoreIncremental.ipynb)
• Added new notebook for outlier detection using
  class LocalSD (notebooks/OutlierDetection/LocalSD.ipynb)

Tests

• Added new test case for zScoreIncrements (tests.test_outlierdetection.TestOutlierDetection.test_zscore_increments)
• Added new test case for LocalSD (tests.test_outlierdetection.TestOutlierDetection.test_localsd)

What's Changed

• Added more notebooks and test cases by @holukas in #108

Full Changelog: v0.76.0...v0.76.1