Tsfel

=============
- 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>`_).

=============
- 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\

=============
- Bugfixes
- Fixed a bug on scipy function median_absolute_deviation to median_abs_deviation (`128 <https://github.com/fraunhoferportugal/tsfel/pull/128>`_)
- Fixed on pandas function df.append to pd.concat (`120 <https://github.com/fraunhoferportugal/tsfel/pull/120>`_)

=============
- Bugfixes
- Fixed a bug on the progress bar not being displayed if the signal is passed already divided into windows (`49 <https://github.com/fraunhoferportugal/tsfel/issues/49>`_)
- Fixed a bug on the ``distance`` feature (`54 <https://github.com/fraunhoferportugal/tsfel/issues/54>`_)
- Fixed a bug raising zero division in the ECDF slope feature (`57 <https://github.com/fraunhoferportugal/tsfel/pull/57>`_)
- Fixed a bug when adding customised features using the JSON
- Fixed a bug on LPC was returning inconsistent values (`58 <https://github.com/fraunhoferportugal/tsfel/pull/58>`_)
- Fixed a bug on normalised autocorrelation (`64 <https://github.com/fraunhoferportugal/tsfel/pull/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 <https://github.com/fraunhoferportugal/tsfel/issues/50>`_)

=============
- Bugfixes
- Bug fixes on computational complexity calculation (`15 <https://github.com/fraunhoferportugal/tsfel/pull/15>`_)
- Fixed an error on `lpcc` feature (`38 <https://github.com/fraunhoferportugal/tsfel/pull/38>`_)
- Removed `entropy` warning (`38 <https://github.com/fraunhoferportugal/tsfel/pull/38>`_)

- Improvements
- Code cleaning on (`TSFEL_HAR_Example.ipynb <https://github.com/fraunhoferportugal/tsfel/blob/development/notebooks/TSFEL_HAR_Example.ipynb>`_)
- `ecdf` code cleaning and computational optimization
- Overlap value is now optional and set to default as 0
- Unit test improvements
- Nomenclature review of peak-related features

- New features:
- Added new tutorials based on Jupyter notebooks (`19 <https://github.com/fraunhoferportugal/tsfel/issues/19>`_)
- Added progress bar during feature extraction (`16 <https://github.com/fraunhoferportugal/tsfel/issues/16>`_)
- Implemented multiprocessing. The `n_jobs` kwarg selects the number of CPUs to be scheduled (`30 <https://github.com/fraunhoferportugal/tsfel/pull/30>`_)
- Added the `neighbourhood_peaks` feature

=============

- 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