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0.1.0 (2022-05-24)

  • First release on PyPI.

0.1.7 (2022-12-26)

  • lock numpy to version 1.23.5

0.1.8 (2023-01-31)

  • bump up versions

0.2.0 (2023-02-08)

  • add eva (Extreme value analysis) module
  • fix bug in obtaining distribution parameters using optimization method

0.3.0 (2023-02-19)

  • add documentations for both GEV and gumbel distributions.
  • add lmoment parameter estimation method for all distributions.
  • add exponential and normal distributions
  • modify the pdf, cdf, and probability plot plots
  • create separate plot and confidence_interval modules.

0.4.0 (2023-11-23)

  • add Pearson 3 distribution
  • Use setup.py instead of pyproject.toml.
  • Correct pearson correlation coefficient and add documentation .
  • replace the pdf and cdf by the methods from scipy package.

0.5.0 (2023-12-11)

  • Unify the all the methods for the distributions.
  • Use factory design pattern to create the distributions.
  • add tests for the eva module.
  • use snake_case for the methods and variables.

0.6.0 (2024-08-18)

dev

  • Add documentations for the distributions, and eva modules.
  • Add autodoc for all modules.
  • Test docstrings as part of CI and pre-commit hooks.
  • Test notebooks as part of CI.
  • Simplify test for the distributions module

distributions

  • move the cdf and parameters for all the methods to be optional parameters.
  • rename theoretical_estimate method to inverse_cdf.
  • All distributions can be instantiated with the parameters and/or data.
  • rename the probability_plot method to plot.
  • move the confidence_interval plot from the probability_plot/plot to the method confidence_interval and can be
    called by activating the plot_figure=True.

descriptors

  • rename the metrics module to descriptors.