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Releases: arundo/adtk

v0.6.2

17 Apr 02:17
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  • Hot fix of wrong documentation url

v0.6.1

17 Apr 01:52
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  • Migrated the documentation to a new host
  • Fixed minor typos in the documentation
  • Fixed a minor type hinting bug

v0.6

10 Mar 20:42
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  • Re-designed the API of adtk.visualization.plot

  • Removed adtk.data.resample because its functionality is highly overlapped with pandas resampler module

  • Made adtk.data.expand_event accept events in the form of pandas Series/DataFrame

  • Made adtk.data.expand_event accept time delta in the form of str or int

  • Changed the output type of adtk.data.split_train_test from a 2-tuple of lists to a list of 2-tuples

  • Turned the following model parameters required from optional

    • window in adtk.detector.LevelShiftAD
    • window in adtk.detector.VolatilityShiftAD
    • window in adtk.transformer.RollingAggregate
    • window in adtk.transformer.DoubleRollingAggregate
    • model in adtk.detector.MinClusterDetector
    • model in adtk.detector.OutlierDetector
    • target and regressor in adtk.detector.RegressionAD
    • target and regressor in adtk.transformer.RegressionResidual
    • aggregate_func in adtk.aggregator.CustomizedAggregator
    • detect_func in adtk.detector.CustomizedDetector1D
    • detect_func in adtk.detector.CustomizedDetectorHD
    • transform_func in adtk.transformer.CustomizedTransformer1D
    • transform_func in adtk.detector.CustomizedTransformer1D
    • steps in adtk.pipe.Pipeline
  • Added consistency check between training and testing inputs in multivariate models

  • Improved time index check in time-dependent models

  • Turned all second-order sub-modules private, and a user now can only import from the following first-order modules

    • adtk.detector
    • adtk.transformer
    • adtk.aggregator
    • adtk.pipe
    • adtk.data
    • adtk.metrics
    • adtk.visualization
  • Refactored the inheritance structure of model components (see https://arundo-adtk.readthedocs-hosted.com/en/latest/inheritance.html#inheritance)

  • Added Python 3.8 support

  • Fixed compatibility issues with statsmodels v0.11

  • Fixed compatibility issues with pandas v1.0

  • Created an interactive demo notebook in Binder

  • Added type hints, and added type checking in CI/CD test

  • Added Black and isort to developer requirement and CI/CD check

  • Optimized release process by publishing package to PyPI through GitHub Actions

  • Improved docstrings and API documentation

  • Fixed many minor bugs and typos

v0.5.5

24 Feb 19:41
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  • Fixed a bug that empty lists were ignored by AndAggregator
  • Fixed some typo in the documentation

v0.5.4

18 Feb 20:31
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  • Optimized the workflow of how a univariate model is applied to pandas DataFrame
    • Added more informative error messages
    • Fixed some bugs resulting in model-column matching error due to inconsistency between output Series names and DataFrame columns
    • Clarified the workflow in the documentation

v0.5.3

12 Feb 21:29
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  • Quick hotfix to avoid errors caused by statsmodels v0.11 by requiring statsmodels dependency <0.11

v0.5.2

14 Jan 19:49
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  • Formalized the management of releases and pre-releases, including rules of branches and versioning
  • Added more rules for developers to the documentation

v0.5.1

02 Jan 21:37
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  • Added many new unit tests, and modified some old unit test
  • Removed seaborn from dependencies (use matplotlib built-in style now)
  • Fixed a bug in the metric module of dict objects as input
  • Fixed a bug in the detector OutlierDetector that output series has dtype object if NaN is present
  • Fixed a bug in transformer pipeline that detect and transform methods are confused
  • Fixed a bug in pipenet that an aggregator node may crash if its input is from a node where subset contains a single item
  • Fixed a bug in pipenet summary that subset column are always "all" even if not
  • Some minor optimization of code

v0.5

18 Dec 22:14
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  • Changed the parameter steps of pipenet from list to dict

  • Added method summary to pipenet

  • Corrected some major algorithmic issues on seasonal decomposition

    • Removed STL decomposition transformer, and hence the corresponding option in SeasonalAD detector
    • Recreated classic seasonal decomposition transformer
  • Updated the demo notebook in the documentation

  • Added an option to hide legend in the plotting function

  • Added some package setup options for developers

  • Fixed an issue of tracking Travis and Coveralls status

  • Some minor internal optimization in the code

  • Fixed some format issues and typos in the documentation

v0.4.1

21 Nov 18:59
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  • Fixed an issue of tox environments
  • Minor spelling/grammar fix in documentation