tsfel - v0.1.9

Changes

• Replaced the Histogram feature with Histogram mode (https://github.com/fraunhoferportugal/tsfel/pull/167)

Improvements * The correlated_features method now supports returning a filtered feature vector (https://github.com/fraunhoferportugal/tsfel/pull/163)

Documentation * Set up a Slack community invite (https://github.com/fraunhoferportugal/tsfel/issues/164) * Enhanced documentation for the timeseriesfeatureextraction and getfeaturesbydomain functions * Updated the main example notebook on Human Activity Recognition (https://github.com/fraunhoferportugal/tsfel/issues/159)

- Python
Published by dmfolgado over 1 year ago

tsfel - v0.1.8

New Features * Added a new Datasets module with convenient methods to load single-problem datasets (https://github.com/fraunhoferportugal/tsfel/pull/156) * Improved the getfeaturesby_domain method, allowing easier selection of multiple feature domain combinations

Improvements * Significantly reduced the computational time for the LPCC feature (https://github.com/fraunhoferportugal/tsfel/pull/153) * Resolved deprecation issues with SciPy Wavelets by switching to PyWavelets for features that rely on wavelets (https://github.com/fraunhoferportugal/tsfel/pull/147) * Renamed the fftmeancoefficient feature to spectrogrammeancoefficient for descriptive correctness (https://github.com/fraunhoferportugal/tsfel/pull/145)

Bugfixes * Fixed a bug causing a circular import issue (https://github.com/fraunhoferportugal/tsfel/pull/154) * Fixed a ResourceWarning when loading the feature configuration file (https://github.com/fraunhoferportugal/tsfel/pull/152) * Removed the use of eval (https://github.com/fraunhoferportugal/tsfel/pull/150)

Documentation * Major documentation updates, including detailed explanations of the expected input and output data formats

- Python
Published by mbarandas over 1 year ago

tsfel - v0.1.8

What's Changed

• Feature/spectral renaming by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/145
• Feature/wavelets by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/147
• Refactor/remove eval by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/150
• Fixed ResourceWarning. by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/152
• Feature/LPCC by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/153
• bug fix on circular import by @mbarandas in https://github.com/fraunhoferportugal/tsfel/pull/154
• Added the new Datasets module. by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/156

New Contributors

• @dmfolgado made their first contribution in https://github.com/fraunhoferportugal/tsfel/pull/145

Full Changelog: https://github.com/fraunhoferportugal/tsfel/compare/v0.1.7...v0.1.8

- Python
Published by mbarandas over 1 year ago

tsfel - v0.1.8-pre

What's Changed

• Feature/spectral renaming by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/145
• Feature/wavelets by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/147
• Refactor/remove eval by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/150
• Fixed ResourceWarning. by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/152
• Feature/LPCC by @isabelcurioso in https://github.com/fraunhoferportugal/tsfel/pull/153
• bug fix on circular import by @mbarandas in https://github.com/fraunhoferportugal/tsfel/pull/154
• Added the new Datasets module. by @dmfolgado in https://github.com/fraunhoferportugal/tsfel/pull/156

New Contributors

• @dmfolgado made their first contribution in https://github.com/fraunhoferportugal/tsfel/pull/145

Full Changelog: https://github.com/fraunhoferportugal/tsfel/compare/v0.1.7...v0.1.8-pre

- Python
Published by mbarandas over 1 year ago

tsfel - v0.1.7

• New features

  • Implemented the Lempel-Ziv-Complexity in the temporal domain (#146 <https://github.com/fraunhoferportugal/tsfel/pull/146>_)
  • Added the fractal domain with the following features (#144 <https://github.com/fraunhoferportugal/tsfel/pull/144>_):
    • Detrended fluctuation analysis (DFA)
    • Higuchi fractal dimension
    • Hurst exponent
    • Maximum fractal length
    • Multiscale entropy (MSE)
    • Petrosian fractal dimension

• Changes

  • Changed the autocorrelation logic. It now measures the first lag below (1/e) from the ACF (#142 <https://github.com/fraunhoferportugal/tsfel/issues/142>_).

- Python
Published by dmfolgado almost 2 years ago

tsfel - v0.1.7

Changes:

• Changed the autocorrelation logic. It now measures the first lag below (1/e) from the ACF [#142]

New features:

• Added the Lempez-Zil complexity to the temporal features
• Added a new set of fractal features

- Python
Published by dmfolgado about 2 years ago

tsfel - Version 0.1.6

• Changes

  • Feature total energy changed name to average power
  • Features peak to peak, absolute energy and entropy are now classified as statistical

• Bugfixes

  • Fixed a bug on numpy bool usage (#133 <https://github.com/fraunhoferportugal/tsfel/issues/133>_)
  • Fixed a bug on features' header names

• Improvements

  • Correlated features are now computed using absolute value
  • Unit tests improvements
  • Refactoring of some code sections and overall improved stability

- Python
Published by mbarandas over 2 years ago

tsfel - Version 0.1.5

• Bugfixes

  • Fixed bug on scipy function medianabsolutedeviation to medianabsdeviation #128
  • Fixed on pandas function df.append to pd.concat #120

- Python
Published by mbarandas almost 3 years ago

tsfel - v0.2.0-ops

- Python
Published by dmfolgado over 3 years ago

tsfel -

- Python
Published by mbarandas about 4 years ago

tsfel - v0.1.4

Version 0.1.4

• Bugfixes

  • Fixed a bug on the progress bar not being displayed if the signal is passed already divided into windows #49
  • Fixed a bug on the distance feature #54
  • Fixed a bug raising zero division in the ECDF slope feature #57
  • Fixed a bug when adding customised features using the JSON
  • Fixed a bug on LPC was returning inconsistent values #58
  • Fixed a bug on normalised autocorrelation #64

• Improvements

  • Refactoring of some code sections and overall improved stability
  • The documentation has been improved and a FAQ section was created
  • The window_splitter parameter is now deprecated. If the user selected a window_size it is assumed that the signal must be divided into windows.
  • Unit tests improvements

• New features

  • Added to return the size of the feature vector from the configuration dictionary #50

- Python
Published by dmfolgado about 5 years ago

tsfel - v0.1.3

- Python
Published by mbarandas over 5 years ago

tsfel - v0.1.2

Bump to v0.1.2

- Python
Published by dmfolgado about 6 years ago

tsfel - v0.1.1

• Added new features

  • Empirical cumulative distribution function
  • Empirical cumulative distribution function percentile
  • Empirical cumulative distribution function slope
  • Empirical cumulative distribution function percentile count
  • Spectral entropy
  • Wavelet entropy
  • Wavelet absolute mean
  • Wavelet standard deviation
  • Wavelet variance
  • Wavelet energy

• Minor fixes for Google Colab

- Python
Published by dmfolgado about 6 years ago

tsfel - v0.1.1-dev

- Python
Published by dmfolgado about 6 years ago

tsfel - 0.1.0

• Release of TSFEL with documentation.

- Python
Published by dmfolgado about 6 years ago