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Published March 25, 2021 | Version v0.1.0
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KIT-IAI/pyWATTS: pyWATTS 0.1.0

  • 1. Karlsruhe Institute of Technology

Description

Added
  • Added integration tests to github actions by executing the examples in root directory (#47)
  • Implementation of the profile neural network (#71)
  • Imports from the init files for exception, modules, and wrapper. (#27)
  • Add rolling_variance, rolling_kurtosis, rolling_skewness. (#28)
  • Select the kind of groupby in the rolling function by an enum (#28)
Changed
  • Remove plot, to_csv, summary. Instead we add a callback functionality. Additional, we provide some basic callbacks. (#16)
  • Change of the API (#16)
    • Use keyword arguments instead of list for determining the input of modules. keyword that start with target are only fed into the fit function.
    • Adapt the modules, so that they are compatible with the new API
    • Use xarray DataArray instead of xr.DataSets for exchaning the data
    • Remove collect step, since through the new API they are not necessary any more
    • Add ResultStep, for selecting the desired result if a moudule provides multiple ones.
    • Remove whitelister, instead columns can be selected via square brackets.
  • CalendarExtraction: Remove encoding, for each encoding and suitable feature a new feature is created. E.g. month_sine. Additionally further calendar features are added. E.g. monday, tuesday, .. and cos encodings. For the different features, a enum type is defined.

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KIT-IAI/pyWATTS-v0.1.0.zip

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