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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[unreleased]

Dropped

  • Support for Python 3.5.

[0.5.3] - 2020-07-24

Added

  • API to add outputs with strings PlotLosses(outputs=['MatplotlibPlot', 'TensorboardLogger']), in case of default parameters.
  • API to add outputs with chaining PlotLosses(outputs=[]).to_matplotlib(**kwargs1).to_tensorboard(**kwargs2).
  • README in pdoc3 documentation.

Fixed

  • An error introduced in 0.5.2 with empty subplots (i.e. if the total number of subplots is not divisible the number of columns).

Changed

  • MatplotlibPlot._default_after_plots contains plt.show() andfig.savefig(...), so that display and save options can be altered with MatplotlibPlot(after_plots=....).

[0.5.2] - 2020-07-19

Added

  • Auto-generated documentation with pdoc3: http://p.migdal.pl/livelossplot/.
  • Option to generate custom matplotlib plot options (e.g. log scale, no legend, etc) with MatplotlibPlot(after_subplot=...) and general for display MatplotlibPlot(after_subplot=..., after_plots=....).

Changed

[0.5.1] - 2020-05-28

Added

  • Bokeh colors, scaling, and hover tooltip (see this PR for screenshots).
  • Tests for Neptune, better tests in general.
  • Nice Issue templates.

Fixed

  • Bokeh example.
  • Made it working in general.

[0.5.0] - 2020-03-20

It is a major rewrite, with breaking API changes. It requires Python 3.5+, and ideally 3.6+.

Work in progress - expect fixes and additions in 0.5.*.

Added

  • Docstrings.
  • Tests (using pytest).
  • Continuous integration (using GitHub Actions).
  • Type hints, mostly for better development and more explicit documentation.
  • Way to write new output plugins (see outputs directory).
  • Examples are readily runnable on Colab.
  • A more general way generate groups for plots based on Regex patterns.
  • Bokeh plot - an initial version.

Refactored

  • A major refactor of the whole structure.
  • PlotLosses is no longer a god object.
  • Organized input plugins in the inputs directory.

Fixed

  • Updated neptune and tensorboard plugins to support current APIs of the respective libraries.

Removed

  • Python 2.7 support.
  • Python 3.4 support - due to type hints.
  • Python 3.5 support priority. Right it installs an older version of matplotlib, 3.0 (the last working with Python 3.5). The current version of matplotlib is 3.2, see https://matplotlib.org/3.2.0/users/installing.html. Support for Python 3.5 for livelossplot may be dropped at any moment.

[0.4.2] - 2020-03-06

Added

  • PyTorch Ignite plugin and example.
  • GitHub sponsor option.

Fixed

  • Tensorboard path for Windows.
  • Changed PyToune to Poutyne to reflect the API name change of the respective library.

[0.4.1] - 2019-05-26

Added

  • Custom matplotlib subplots.
  • 2d plot prediction.

[0.4.0] - 2019-05-06

For now, it is prehistory.