Changelog

tsfresh uses Semantic Versioning

Version 0.5.0

  • new example: driftbif simulation
  • further improvements of the parallelization
  • language improvements in the documentation
  • performance improvements for some features
  • performance improvements for the impute function
  • new feature and feature renaming: sum_of_recurring_values, sum_of_recurring_data_points

Version 0.4.0

  • fixed several bugs: checking of UCI dataset, out of index error for mean_abs_change_quantiles
  • added a progress bar denoting the progress of the extraction process
  • added parallelization per sample
  • added unit tests for comparing results of feature extraction to older snapshots
  • added “high_comp_cost” attribute
  • added ReasonableFeatureExtraction settings only calculating features without “high_comp_cost” attribute

Version 0.3.1

  • fixed several bugs: closing multiprocessing pools / index out of range cwt calculator / division by 0 in index_mass_quantile
  • now all warnings are disabled by default
  • for a singular type time series data, the name of value column is used as feature prefix

Version 0.3.0

  • fixed bug with parsing of “NUMBER_OF_CPUS” environment variable
  • now features are calculated in parallel for each type

Version 0.2.0

  • now p-values are calculated in parallel
  • fixed bugs for constant features
  • allow time series columns to be named 0
  • moved uci repository datasets to github mirror
  • added feature calculator sample_entropy
  • added MinimalFeatureExtraction settings
  • fixed bug in calculation of fourier coefficients

Version 0.1.2

  • added support for python 3.5.2
  • fixed bug with the naming of the features that made the naming of features non-deterministic

Version 0.1.1

  • mainly fixes for the read-the-docs documentation, the pypi readme and so on

Version 0.1.0

  • Initial version :)